Total 25 Senior Executive data entry job vacancies in singapore singapore

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Senior Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis..

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

•  
• Take the initiative and ownership of projects and clients
• Understand and document the business requirements of our clients
• Propose technology stacks and solutions that meet client needs
• Design and architect to appropriately safeguard data security, data integrity and data privacy
• Build schemas and data transformations that are optimized for the client’s use cases and query patterns
• Write queries and tests to establish performance metrics and profile outputs for the client’s use cases and query patterns
• Guide and mentor other team members with matters related to both business and technical requirements, as well as create and publish best practices, methodologies and guidelines
• Understand and account for tradeoffs in performance, usability, accuracy, integrity of data
• Deliver clear, well-communicated and complete design documents
• Defend and convince clients of the validity and merits of our solutions
•  

OVERVIEW

As a Senior Data Scientist, you will work on enhancing the production of our video games through the use of machine learning algorithms. Your experience in translating complex needs into actionable and your drive to implement efficient and adapted solutions will be essential to fulfilling our vision.

Joining our Singapore Data Team, you will work closely with our data analysts, data engineers and other data scientists. We are tackling a wide range of topics, from creation assistance to game features. You will be working on one or several concrete projects, always tied to a game team.

We are looking for individuals with a strong autonomy who can bring their extensive knowledge and experience in machine learning to help us drive forward our use of technologies like recommender systems and generative AI to craft better experiences for our players.

WHAT YOU WILL DO 

In the first six months: 

• You will have become familiar with the data sources available in a AAA game development environment.
• You will have worked in collaboration with our Data Analysts and production teams to extract data you need.
• You will have built a solid relationship with key stakeholders in the game development teams.
• You will have worked on at least one project and showcased your capacity to identify and propose solutions to complex needs.

After this period, you will be able to: 

• Understand the needs of a game development team, propose and communicate efficiently solutions that use data science tools/pipelines.
• Work in collaboration with colleagues in the Data Team to implement and maintain those tools/pipelines for games.
• Prioritize work that delivers the most value for players and the company.

Location: Singapore

Office Work Setup: Hybrid
Availability to Join: ASAP

Job Overview:
We are seeking a highly skilled and dedicated Senior Service Engineer specializing in Data Center Automation (DCA) to join our team in Singapore. As part of a dynamic environment, you will play a crucial role in providing technical leadership and coordination for service activities related to medium engineering complexity. You will ensure that engineering and service disciplines within the AMC sites are efficiently executed, aligning with contract specifications, quality standards, and safety requirements.

This role is ideal for someone with deep knowledge in the data center domain, particularly in handling 800XA control system, and who thrives under pressure, providing 24x7 support with a commitment to solving problems and maintaining customer satisfaction.

Key Responsibilities:

1. 24x7 Service Delivery:

• Provide technical support and troubleshooting for the data center customer installed base in Singapore.
• Ensure timely service delivery with a 2-hour SLA, resolving issues both remotely and on-site.

• Collaborate with project teams during installation, commissioning, and site activities, providing hands-on support to address engineering errors and commissioning challenges.

• Serve as the technical Service lead, offering guidance across engineering disciplines included in AMC projects.
• Foster knowledge transfer from Project Engineering teams and share best practices across different projects and disciplines.
• Develop and implement standard processes and tools.

• Maintain and manage relationships with key customers, identifying new sales opportunities and ensuring customer needs are met.
• Provide specialist support and advisory services for the Sales team.

• Prepare all necessary documents and reports for customer approval.
• Ensure timely reporting of work done and follow-up on outstanding issues.

Challenges:

• Provide 24x7 availability to meet tight schedules and budgets.
• Deliver exceptional service support to customer sites on a rotational basis.
• Navigate the complexities of data center engineering, a rapidly evolving field.

• Experience:
• 4-6 years of experience in data center operations or similar domains.
• Strong background in DCS project engineering or service, particularly with 800XA system.
• Experience with Data Center Automation projects, specifically BMS/EPMS/CMS, is an added advantage.
• Technical Skills:
• Familiarity with data center terms, terminologies, and control systems.
• Competency in Microsoft Office tools and basic computer literacy.
• Personal Attributes:
• Strong interpersonal, organizational, and communication skills.
• Customer service-oriented mindset.
• Ability to work under pressure, managing tight schedules and on-call duties.

As a Senior Data Center Operations Engineer, you will work as a member of the team of engineers and be responsible for facilities in Singapore and oversee the overall health of the facilities.  You will be involved in 

• Workflow of day to day operations of the facilities. 
• Capacity deployment and forecasting. 
• Budgets and maintaining facility stock
• General operational uptime/maintenance scheduling
• Vendor management
• Facility Evaluation
• Builds and deployments
• Strategic global projects
• Cross organizational collaboration 
• Conduct all audits as required
• Coordinating with the onsite delivery and shipping of all equipment
• Developing, documenting and evangelizing a catalogue of standards and best practices for data center operations
• Functioning as one of the main regional points of contact and be accountable for all vendors who operate inside of our data centers.  Will act as the operational point of contact for all builds, expansions and maintenances. 

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a highly motivated and skilled Senior Data Scientist to join our dynamic team at Funding Societies. You will have the opportunity to work with a diverse team of experts in a collaborative and innovative environment. In this role, you will be responsible for analyzing complex datasets, developing predictive models, and providing insights that drive business decisions.

What you will do:

Model Development and Deployment:

• Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.
• Calibrate model parameters and optimise existing business logic and parameters
• Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

• Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.
• Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

• Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.
• Automate workflows for model training, validation, deployment, testing and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

• Mentor and provide guidance to junior data scientists and analysts in the team.
• Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

What we are looking for:

• 5+ years of experience in data science, preferably within the fintech or financial services industry.
• Proven experience in developing and deploying machine learning models in a production environment.
• Strong background in statistical analysis and machine learning.
• Expert in credit modelling and risk management would be an added advantage

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

As a Senior Java Developer, you will be primarily working within the back-end development team and will gain exposure to the full software stack. You will use modern development tools and concepts to deliver high quality, best practice software solutions. You will have the opportunity to take the lead on projects, mentor and support junior members of the team, and have a key input in the development of the team moving forwards.

What you will be doing: 

• Design, build and enhance bespoke Java solutions for our clients
• Deliver high quality, best practice software solutions
• Perform architectural reviews of Java Systems
• Suggest and implement new ideas and innovations
• Produce clean and efficient solutions based on specifications
• Recommend, implement and knowledge share on improvements to client systems
• Use a range of architectures, tools and frameworks
• Be exposed to a range of technologies and be capable of selecting the most appropriate solution to a given client problem
• Work as part of a dynamic team
• Learn and gain certifications in new technologies
• Enhance and grow your Java knowledge among subject matter experts in our learning and development ecosystem
• Grow our learning and development ecosystem through research and development or training content
• Provide technical and/or people leadership to the Performance Software Engineering Stream with opportunities for management training
• Liaise with clients and our business development team to build out teams and/or solutions

About our Company

We are a global team operating a health and wellness brand serving over 2 million customers worldwide. We have a team of ~40 full-time employees globally, headquartered in Singapore. Our brand generates more than $100M per year in revenue and operates profitably with close to 100,000 monthly subscribers. We continuously strive to bring the best functional products to improve women's health, with a focus on making our products clinically-influenced yet approachable to everyday consumers.

Overview of the Role

As we’re building the infrastructure to enable and support the next leg of growth ($500M to $1B), we’re looking for a Senior Data Analyst to lead efforts in managing and analyzing marketing, financial, and operations data to enable and support business growth opportunities. You will report to the Head of Growth and work across functional areas to translate complex and sometimes unstructured datasets into actionable insights to identify new growth opportunities or optimize efforts in existing projects. This role focuses on growing or optimizing the following metrics:

• Average order value (AOV)
• Conversion rate (CVR)
• Lifetime value (LTV), which includes interim values like 3, 6, and 12 months
• Payback periods
• Subscription churn and recovery
• …and other growth metrics, if any

The core responsibilities for this role include:

• Developing forward-looking data analysis capabilities for a women’s health brand with long-term growth ambitions
• Building and managing a team of data analyst(s) and data assistant

Part 1: Develop Right-Sized Data Analysis Infrastructure

• Audit data analytics needs for the organization with growth and marketing needs in mind
• Recommend and implement right-sized data management solutions (including but not limited to data warehouse, visualization, programming language, etc.) to meet present and mid-term needs (e.g. BigQuery, Fivetran, Tableau, PowerBI)
• Establish and refine data models within the database to ensure efficient data storage and retrieval.
• Create and optimize SQL queries, views, and stored procedures. 
• Contribute to solutions for real-time data retrieval from various sources, including API integrations and new platform solutions selection.

Part 2: Enable Marketing Insights

• Marketing is our growth engine, so enabling marketing-related insights is a core priority for the data team before all else.
• Increase access to internal data sources including but not limited to post-purchase KnoCommerce surveys, customer surveys, clinical trial results, business performance data across Shopify, Amazon.com, Walmart.com, Meta, Google, Helium10, Hyros, etc. using data management and visualization tools
• Increase access to external and relevant data sources including but not limited to macro data sources like Amazon.com, iHerb, industry research studies, CPI, DTCCI, etc. and micro data sources like Meta Ads library, Google Ads transparency center, ad spy tools like Atria and Foreplay, etc.
• Using experienced knowledge of acquisition and retention marketing KPIs, synthesize data across multiple sources to develop insights and to tell a story with data. 
• Develop actionable optimization recommendations.
• Use advanced segmentation methodologies to group customers by cohort, lifetime value, products purchased, etc. Build models to predict lifetime value and score customers on dimensions such as likelihood to buy.
• Analyze Customer Retention and Behavior. Examples:
• Analyze Subscription Retention Rates: Assess retention rates and compare group performance.
• Perform Cohort Analysis: Conduct analysis to understand customer behavior on first and second purchases, and channel-based behavior.
• Incrementality Tests for Campaigns: Video lifts and whitelisted campaigns on customer behavior.
• Analyze Brand and Promotions Impact. Examples:
• Measure and Monitor Brand Changes: Track and analyze the impact of brand changes.
• Analyze Impact of Free Shipping Offers: Assess the impact of offering free shipping to specific regions.
• Conduct Promotional Analysis: Evaluate the effectiveness of various promotions and marketing campaigns.

What working with us looks like

First few weeks

• Company onboarding: Our team member will introduce you to the company and share more about our business and background with you 
• Team onboarding: Our team member(s) will introduce you to the marketing team and operations, and guide you through your responsibilities. You will likely take 2-3 weeks to familiarize yourself with your routine and tasks. A buddy will be assigned to you so you can reach out anytime you need help
• Career review:
• Informal: After 4-6 weeks
• Formal, 1st: After 3 months
• Formal, 2nd: After 6 months

Preferred Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Marketing, or another research-related field.
• 5+ years of experience as a Data Analyst or similar role, demonstrating expertise in AI-driven analytics and marketing insights.
• Strong understanding of marketing concepts, particularly AOV, LTV, conversion rates, and customer acquisition costs, coupled with expertise in leveraging AI for marketing intelligence.
• Excellent communication and presentation skills, especially in conveying insights to non-technical stakeholders.
• Experience with Git and code management practices.
• Proven ability to work independently in a fast-paced environment
• Experience leading or managing teams preferred

Soft skills

• Meticulous: Pays close attention to details
• Process-oriented: Thinks through potential scenarios in detail to verify and confirm the right setup
• Numbers-driven: Familiarity and comfort working with numbers
• Love for Problem-solving: Has a positive attitude when problems surface, and focuses on finding a solution
• Intellectual curiosity: Openness and curiosity in learning new things, including knowledge and tools

Technical skills

• CRM: Shopify, Hubspot, Salesforce, or something similar
• Marketing API: Familiarity with Supermetrics or something similar
• Marketing attribution tools: Familiarity with Google Analytics 4, Hyros, TripleWhale, Northbeam, or something similar
• Data visualization tool: Familiarity with Tableau, Google Data Studio, PowerBI, or something similar
• Data science language: Familiarity with Python, R or something similar

Work Arrangements

• For Singapore-based team members, working hours are fixed, from 10am to 7pm SGT from Mon - Fri
• For remote team members, your working hours will be discussed prior to employment
• Lunch is one hour and flexible (you can decide what time to take your one hour off)
• Once-a-week team meetings (time TBD), with shorter check-in calls throughout the week when necessary

• Competitive salary and performance-based bonuses.
• Opportunities for professional development and advancement.
• Collaborative and dynamic work environment.

SHIELD is a device-first risk AI platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activities. SHIELD identifies the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable risk intelligence, empowering businesses to stay ahead of new and unknown fraud threats. We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney and more. With offices in San Francisco, Miami, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission – eliminating unfairness to enable trust for the world. 

Responsibilities

 As a Senior Data Analyst (Risk), you will be involved in supporting the risk operations by retrieving meaningful and relevant information from large databases, conducting data analysis to discover fraud trends and patterns. Thereafter, helping in designing long-term solutions to fight fraud. The insights you provide will contribute towards optimizing risk management strategies and creating business value by enabling trust for our clients.

• Handle end to end process from retrieving data, data analysis, deriving insights, summarizing, and presenting recommended actions to stakeholders in order for us to stay ahead of new and unknown fraud. 
• Utilize statistical tools to identify areas of potential fraud risk and/or potential areas of improvements to current fraud detection mechanisms. 
• Collect, validate, and clean data from various sources to ensure data accuracy and reliability. 
• Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis in complex and large dataset such as device metadata, user data, payment data – and coming up with proposals to address them and preventing future occurrence. 
• Improve and maintain dashboards to provide visibility of key metrics and fraud patterns for relevant stakeholders. 

• At least 5 years of experience as a hands-on data analyst. 
• Minimum Bachelor’s Degree in Computer Science, Data Sciences, Statistics, Mathematics, or other related fields. 
• Working experience in handling large-scale unstructured data. 
• Proficiency in SQL or other data handling tools. 
• Experience in using business intelligence tools such as Tableau, Qlik Sense, and Microsoft Excel. 
• Experience with any data analysis tools such as Python, R, SPSS and SAS. 
• Ability to take initiative in a fast-moving and dynamic environments, and take timely actions to prevent risk of fraud. 

Primary Objectives;

Custodian and system expert who can advise, analyze, plan, implement, maintain, support (and retire/refresh where required) all locally hosted (On premise, Cloud) data related platforms inclusive of data lakes, data warehouses, data marts, ETL, reporting, dash boarding and analytics:

Common to all Senior Analyst

• Maintain and ensure data platforms running in production are kept running and supported in a healthy state;
• Analyze and recommend new application and platform acquisitions to meet evolving Singapore Operation’s needs based on capturing and documenting business requirements elicited from business stakeholders
• Where the data platforms are in-house developed do the required coding and development, otherwise engage with 3rd party vendor to get enhancements developed and then deploy into test and prod when ready
• Ensure IT is operated in a manner that complies with Bank Policies and frameworks, standards, circulars, guidelines and MAS regulated act, notices, circulars, and guidelines applicable to technology (Compliance, Audit, Risk Adherence). – Application and Platforms
• Ensure IT assets are protected and secure – Applications and Platforms
• Assist in annual budgeting – Applications and Platforms
• Be a key stakeholder and technology partner on the bank Digital journey.
• Foster and champion bank PRIDE values within the technology department and imbue the department with a culture of teamwork, innovation, discipline, resiliency and dedication to how work is approached.
• Where vendor based solution approach adopted and/or outsourced approach, arrange due diligence and assessment from technology perspective on behalf of users.
• Provide day-to-day support to business users on any data platform related system issues or constraints
• Ensure assigned application deployments running on bank managed environments are properly QA and meet conditions. 
• Co-ordinate the setup and manage test environments to ensure business can do their enhancements and new projects testing.

Specific to Enterprise data platform and datamarts

• Enterprise Data Platform and Datamarts: Next Generation Cloud Data lake platform, theme specific cloud data marts, on premise legacy data warehouse system, on premise staging database, custom developed ETL

Key Responsibilities;

Strategy, Planning, Mgmt. Reporting

• Provide expert advice and support to technology management in the area of expertise

• Contribute in the formulation a comprehensive Branch IT strategy covering IT policies and procedures, security, architecture, business solutions and operational functional requirements
• Keep abreast of developments and innovations in the FI IT landscape
• Provide mentorship, support and guidance to colleagues, share information and facilitate problem solving

• Contribute in the yearly budgeting for IT expenditures and investments.

IT Operations

• Ensure data platforms running in production are healthy and functioning per expected.

• Ensure prompt and efficient provision of IT support based on assigned area of expertise (includes request from Data center operations team)

• Oversee contingency plans and ensure their adequacy

• Ensure IT assets are protected and secure

• Maintain and ensure timely renewal of digital certificates and proper lodgment with IT security team.

• Ensure IT operations run in a manner consistent with high score from audit, risk, compliance assessments. The following to be operationalized as standard procedure against all IT asset components:

1. Administrative Accounts – All admin accounts lodged into PAM solution per group IT Security guidelines and MAS notice 655 point 4.1
2. Patching – Patch notification process established with vendors and patch calendar updated, upon patch release assessment and implementation as needed Per patching guidelines and MAS notice 655 point 4.2
3. Hardening - Per component definition and enforcement against SG security standard and Group IT Security guidelines and SG addendum/s and MAS notice 655 point 4.3
4. Network Perimeter Defense – Network traffic and segments, firewalls, proxies, dns, vpn access setup in secure manner per group IT security guidelines and MAS notice 655 4.4

• Malware – IT Security consulted and all required IT security protections installed on IT assets per MAS notice 655 point 4.5
• Multi-factor Authentication – MFA, where applicable implement MFA of administrative and internet accounts with access to customer information using PAM per MAS notice 655 point 4.6
• Logging and Monitoring – Security, Capacity, Downtime, Audit
• Capacity Mgmt. – Pre-emptive monitoring (via monitoring), planning and execution of capacity upgrades as needed
• EOL/EOS Upgrades – Per group guidelines. Track and execute upgrades and/or do risk assessment and deviation approval.
• Housekeeping – scripted clean-ups and truncations of logs and temp files after necessary archives executed
• Backups – Required backup strategy per backup guidelines operationalized to central Backup Platform. Recurring scheduled backup validation activities scheduled and performed ongoing to ensure backups working per need.

• Work with system stakeholders to ensure proper classification of system criticality and ensure design and architecture can meet the assessed criticality needs:
  • MAS 644 defined Critical system – Ensure DR setup and working and can achieve RTO within 4 hours, RPO within 2 hours and maximum unplanned downtime of not more than 4 hours per rolling 12 months;
  • MAS 644 defined non-critical system – Ensure HA/DR per stakeholder requirement.
• BCM related activity planning and execution
• Review and Approve/Reject production change requests as part of TCAB committee
• Raise CAB CR as necessary
• Cutover related planning and execution
• Ensure and maintain adequate test environments in good working order to support enhancements and new projects;
• Adhere to SDLC for both in-house and 3rd party solution platforms.
• Take BAU day 2 operational ownership in terms of maintenance, support and minor enhancement ownership of new systems and/or major enhancements delivered by the Digital Delivery and DevOps team
• Track IT related spend against budget.
• Write Memos to authorize procurements
• Write Memos to get deviation approvals where required.

Application and Systems Development / New Platform Acquisition

• Lead in the requirements gathering and documentation, design and where in-house the coding, test support and implementation of new systems or enhancements of existing systems:
  • Analyze, design, document and develop technical solutions according to business requirements (or in case of off the shelf, co-ordinate with 3rd party vendor)
  • Provide accurate, complete and up to date system documentation
  • Provide training to users to ensure correct usage and proper adoption upon rollout
  • Oversee the QA of software implementation
  • Oversee the deployment and implementation of applications to run on Cloud for existing systems based on end-user needs and business rationale.
  • Assist team lead to write and table committee papers as required to get new systems and/or platforms, or major refreshes approved.
  • Write Memos to authorize procurements
  • Write Memos to get deviation approvals where required
  • Work together with Digital Delivery and DevOps team to support digital and cloud initiatives in terms of initial advisory and then follow-on necessary analysis and co- ordination/implementation related to integration requirements and enhancement required to existing data platforms to enable the digital initiative.
  • Work with Digital Delivery and DevOps team to support migration of workloads running on- premises to Cloud.

Regulatory and Procedural Expertise

• Keep up to date and refreshed on required reading related to guiding how IT must be run in a regulated Financial institution. Minimum read list:
  • MAS Technology Risk Management Guidelines (TRMG)
  • MAS Notice 644 – Technology Risk Management.
  • MAS Notice 655 – Cyber Hygiene
  • MAS Outsourcing Guidelines
  • RHB Group IT Security Guidelines and SG addendum/s
  • SG Patching Guidelines
  • SG Backup Guidelines
  • SG Technology Department Operational Manual (OM)
  • SG IT Standard Operational Procedures (SOP), and System Manuals (SM)
  • SG Procurement Operational Manual (OM)

Other Responsibilities

• Participate in Monthly Technology Department meetings.
• Participate in regular Team meeting.
• Use Department issue and work tracking platform.
• Maintain and keep up to date team knowledge base and assist in updating team document assets such as system manual / standard operating procedures (SOP), and operations manuals

• Universe Risk Management: On Blockchain exchanges, conduct risk and abnormal analysis on the CoinMarketCap main station
• User Behavior and Pattern Analysis: Leverage our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognition
• Digital Data Asset: Obtain Blockchain-based data to perform chain-based data analysis, prediction and recommendations

As a Senior Consultant in Data Science & Analytics, Financial Services (FS) focus you will work on both local and international client engagements on data science topics, including data acquisition and exploration, building relevant models, and presenting results to stakeholders.

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects: https://www.heka.ai/en
As part of the global data science team, you will contribute to the development of various solutions designed to address our clients’ needs.

Key responsibilities:

• Partner with our clients’ leadership teams, engineers, program managers and data analysts to understand business needs.
• Steer a small team or work independently on client projects with support of senior leadership.
• Identify, acquire, process, and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools, and processes.
• Evangelize data science in the region by contributing to training & upskilling.
• Contribute to business development activities such as building proposals, conducting research, and driving thought leadership.

4e Exchange, a leading financial derivatives trading platform, is seeking a Senior Data Analyst to join our team. As a global leader in the financial services industry, 4e Exchange offers a wide range of financial trading services and products, with a team of experienced professionals supported by advanced technology. The Senior Data Analyst will be responsible for analyzing and interpreting complex data to inform company decisions, as well as identifying trends and opportunities for growth. The ideal candidate will have a strong background in data analytics and financial services, with the ability to communicate insights to various stakeholders.

Responsibilities

• Collect, analyze, and interpret large sets of financial and user data
• Generate reports and presentations to communicate insights and recommendations to management
• Identify trends, patterns, and opportunities for growth within the company's data
• Collaborate with cross-functional teams to support and guide effective decision making
• Develop and maintain data models and databases
• Maintain and update data visualizations and dashboards
• Continuously identify areas for improvement and efficiency in data analysis processes

• Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Finance, or related field
• 5+ years of experience in data analysis, preferably in financial services or trading
• Proficiency in coding languages such as SQL/Excel, Python, R etc.
• Strong analytical and problem-solving skills, with a focus on attention to detail
• Excellent communication and collaboration skills
• Familiar with A/B test design and analysis
• Ability to manage multiple tasks and projects at once while meeting deadlines.

Who are we?

Equinix is the world’s digital infrastructure company, operating 250 data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

We are a fast-growing global company with 20+ years of continuous growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of 10,000+ companies, including 2,000+ networks and 3,000+ cloud and IT service providers in 32 countries spanning six continents.

Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.

Job Summary
Leads repairs, corrective maintenance, and complex installations. Guides others in resolving incidents, and recommends new procedures to resolve faults.

Responsibilities

Facility / Infrastructure Maintenance

• Performs specialized preventative and corrective maintenance on-site

• Monitors the Building Monitoring System (BMS) and resolves alarms for specialized issues requiring considerable judgement and implications to resolve; follows guidelines on standard procedures and recommends sound solutions

• Operates and maintains plumbing, fire suppression, and life-safety systems

• Implements energy efficiency measures

• Assists on coordinating critical infrastructures

Vendor Support

• Coordinates and directs vendors on skilled tasks to ensure that maintenance activities are carried out per standards and requirements

• Assists with the creation and submission of scripts for maintenance

• Tracks and implements the work approval process for service providers for critical maintenance (including briefing at the start of work, control of work during the day workday/shift, final review of the work carried out)

• In cooperation with the vendors, changes/updates technical files for plants and equipment ensuring files and builds are up-to-date

Site Administration & Incident Support

• Performs specialized site logs and data gathering for issuing of permits, such as Maintenance Operation Protocol (MOPs) and scripts

• Identifies Single Points of Failure (SPOFs) and recommends solutions

• Responds to all on-site incidents, including failures, significant problems and delays

• Performs Root Cause Analysis (RCA) resolves issues

• Supports the on-site staff during incidents

• Demonstrates and supports processes and procedures are followed and adhered to

Work Orders & Additional Projects

• Completes skilled work requests and circuit installations

• Performs sophisticated troubleshooting and maintenance of office equipment (if necessary); supports auxiliary equipment and machines with problem solving and repairs to avoid/minimize downtime

• Makes moderate changes to mechanical, electrical and specialized systems, as directed

• Carries out more complex infrastructure projects

• Supports life cycle maintenance/end of life infrastructure projects and critical replacements

• May recommend infrastructure projects

Collaboration

• Collaborates with others to resolve difficult facility incidents

• Effectively collaborates within the department; may mentor team members on skilled maintenance activities

• Informs stakeholders of inventory needs to maintain optimal stock levels of critical parts and equipment, may support in coordinating processes for maintaining inventory

• Acts as a mentor to others in resolving incidents

Qualifications

• 5+ years experience

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Job Description: Senior Data Engineer

Position Overview: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our organization's data needs. The ideal candidate will have a strong background in data engineering, expertise in various data technologies, and a passion for building robust and efficient data solutions.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of structured and unstructured data from multiple sources.
2. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and implement solutions that meet business needs.
3. Optimize and tune data pipelines and workflows for performance, scalability, and reliability.
4. Implement data governance processes and ensure data quality and integrity throughout the data lifecycle.
5. Design and maintain data warehouse and data lake architectures to store and organize data for analytics and reporting purposes.
6. Research and evaluate new technologies and tools to enhance our data infrastructure and capabilities.
7. Provide technical leadership and mentorship to junior members of the data engineering team.
8. Collaborate with infrastructure and DevOps teams to deploy and manage data solutions in cloud-based environments.
9. Develop and maintain documentation for data pipelines, systems, and processes.
10. Stay current with industry trends and best practices in data engineering and apply them to improve our data ecosystem.

Qualifications:

1. Bachelor's degree or higher in Computer Science, Engineering, or a related field.
2. X+ years of experience in data engineering, with a proven track record of designing and implementing complex data solutions.
3. Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
4. Strong experience with distributed data storage and processing technologies such as Hadoop, Apache Kafka, Apache HBase, or similar.
5. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services such as AWS EMR, S3, Glue, or Azure Data Factory.
6. Experience with SQL and relational databases (e.g., PostgreSQL, MySQL) as well as NoSQL databases (e.g., MongoDB, Cassandra).
7. Solid understanding of data modeling concepts and proficiency in designing efficient data schemas.
8. Excellent problem-solving skills and the ability to troubleshoot complex data issues.
9. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
10. Experience with Agile development methodologies and tools like JIRA is a plus.

This job description outlines the primary responsibilities and qualifications for the Senior Data Engineer role. Candidates should possess a combination of technical expertise, analytical skills, and teamwork abilities to excel in this position.

We are seeking an experienced and creative Senior BI Analyst to join our team. This position requires a functional understanding of business domains preferably in one of Healthcare/ Financial services/ Retail sectors and ability to facilitate stakeholder communication, conduct workshops and create clear documentation.

A good understanding of data visualization tools such as Qlik, Tableau, or Power BI, complemented by strong proficiency in SQL would be ideal. The ideal candidate will have at least 5 years of experience in data analytics and business intelligence, with a keen ability to gather and understand customer business requirements. This role demands exceptional design skills to build visually appealing and insightful dashboards.

Key Responsibilities:

1. Requirements Gathering and Analysis:

   - Collaborate with business users to gather, understand, and document business requirements.

   - Translate business needs into technical specifications and BI solutions.

   - Conduct requirement analysis sessions with stakeholders to ensure clarity and alignment of vision.

2. Develop and Design BI Solutions:

   - Design, develop, and maintain advanced BI solutions, focusing on high usability and aesthetic appeal.

   - Create interactive and visually compelling dashboards and reports using tools like Qlik, Tableau, or Power BI.

   - Ensure data accuracy and integrity in all deliverables.

3. Data Analysis and Reporting:

   - Perform complex data analysis to extract actionable insights and support business decisions.

   - Develop automated reports and dashboards, continuously iterating to enhance user experience and data storytelling.

   - Work closely with stakeholders to tailor reporting based on evolving needs.

4. Database and Query Optimization:

   - Develop sophisticated SQL queries for data extraction and analysis.

   - Optimize database performance and query efficiency.

   - Uphold data quality and integrity standards.

5. Cross-Functional Collaboration and Support:

   - Engage with different business units to integrate BI solutions into diverse business processes.

   - Provide ongoing support and training to users on new and existing BI tools and dashboards.

   - Act as a liaison between technical and non-technical stakeholders.

6. Project Leadership:

   - Lead BI development projects, ensuring timely delivery and alignment with business goals.

   - Manage project timelines, resources, and stakeholder communication.

7. Innovate and Stay Current:

   - Keep updated with the latest trends in BI technology, design, and data analytics.

   - Evaluate and recommend new tools and technologies to enhance BI capabilities.

• Permanent position with variable bonus
• Candidates with no experience are welcome
• Opportunities to travel abroad for business purposes
• Effectively bilingual in English and Mandarin due to business needs. Other spoken language is an added advantage

Roles & Responsibilities:

• Handle existing customers’ account and look for new customers
• Handling enquiry, negotiating price, preparing quotation, order and delivery
• Support distributors in market development, products knowledge and commercial requirement
• To review the distributor’s performance periodically and make recommendations for sales improvements and distributors’ motivation
• Participate or visit trade fairs worldwide
• Identifying & generating new business opportunities within assigned territory
• Visit clients of existing markets and potential customers in new market
• Working closely with IP Lawyer and Clients for taking action against infringer of company’s trademarks and products
• Perform any other duties or ad hoc projects assigned

• Degree Holder in Marketing / Business
• Travelling required
• Resourceful, meticulous and independent
• Energetic with high level of initiative and dedication
• Possess good communication and strong analytical skills
• Effectively bilingual in English and Mandarin. Other spoken language is an added advantage

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Permanent position
• Variable bonus
• Opportunities to travel abroad for business purposes

• At least 2-3 years’ experience in business intelligence, consultancy, or data research
• At least 2-3 years’ experience in an editorial or analytical role
• Proven experience in analysing complex company financial data and company due diligence, and making consistent assessments of a company’s financial standing

This position presents an exciting opportunity for an energetic, results-driven, and personable individual with a strong analytical and data experience.

Job Description

• Produce an agreed number of credit reports per month against volume and timeliness KPI and support the Credit Risk Team Lead – APAC to ensure the regional and global targets are met
• Actively research and analyse companies, shipping, and financial markets as well as other relevant data and information to make confident and concise credit risk judgements while displaying knowledge and integrity
• Support the Credit Team Lead in training and onboarding Credit Report Analysts, mentoring and coaching junior colleagues, and contribute to training materials and process improvements
• Grow and maintain a network of contacts via phone and email by engaging in proactive information exchange, acting as a brand ambassador of Lloyd’s List Intelligence
• Ensure that any critical and non-critical errors in output are flagged and escalated accordingly
• Support the Credit Risk Management Team by being a regional go-to person for company analysis SME and therefore attend client calls when required alongside sales and/or product management, and when required support our account managers on networking events and relevant conferences
• Stay abreast of market news and new Seasearcher product developments and functionality covered in Go to Markets and continually develop your understanding of the maritime industry to enable high quality writing on the profile of the company
• Foster collaboration and share information with other in-house data teams that research company ownership structures, to optimise the quality of data

• At least 2-3 years’ experience in business intelligence, consultancy, or data research
• At least 2-3 years’ experience in an editorial or analytical role
• Proven experience in analysing complex company financial data and company due diligence, and making consistent assessments of a company’s financial standing
• Proficiency in written and spoken English
• A customer-first approach and strong time management skills and ability to produce high quality content within set deadlines
• Ability to compile training methodology and feedback documents to drive output enhancements is a pre-requisite
• Advanced OSINT research skills is a requirement
• Strong stakeholder management is required in this role, across all areas of the business
• A flexible, can-do attitude with the ability to manage several ongoing tasks at any one time

Triton AI Pte Ltd

Registration Number: R1980724

EA: 21C0661

• Perm
• Attractive Leave Benefits
• Work from anywhere policy
• Medical & Insurance Coverage

• Contribute to the development and implementation of CRM marketing automation, journeys, and processes to enhance business efficiency.
• Utilize CRM tools to analyze the customer database, extract insights, and collaborate with cross-functional teams to implement recommendations.
• Serve as the custodian of data for the brand, ensuring the maintenance, monitoring, and updating of the customer database in alignment with internal data quality policies.
• Assist in the allocation of leads and closely monitor follow-up tasks by the sales team.
• Generate and analyze results from CRM campaigns, extract insights, and propose data-driven ideas and recommendations.
• Identify and suggest suitable target audiences/segments for sales and after-sales marketing campaigns.
• Track, generate and analyse weekly sales funnel and campaigns reports.
• Customer profiling, data mining and customer need analysis

• Diploma/Degree holders in Marketing / CRM / Business Administration.
• 1-2 years of Marketing/CRM-related experience.
• Knowledge of CRM principles and customer journeys.
• Meticulous and well-organised with the ability to multitask under pressure

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1875181

Triton AI Pte Ltd

License no. 21C0661

• Permanent position, Salary up to $4,000 with Bonus
• At least 1 year of Marketing/CRM-related experience

Job Title: Consultant/Senior Consultant - Data Governance & Global Markets

Position Overview: Join our dynamic team as a Consultant/Senior Consultant in Data Governance & Global Markets, where you'll spearhead transformative initiatives within leading financial institutions. This role offers a unique opportunity to drive innovation across technology, data, and information management, shaping the landscape of client projects and organizational strategies.

Key Responsibilities:

• Collaborate with managers and key stakeholders to ensure the successful execution of client initiatives, with a focus on conceptualizing, designing, and implementing data-driven financial and risk analytics solutions.
• Leverage your expertise to innovate, build, and maintain robust data solutions that address business challenges, including reviewing data requirements and ensuring master data integrity.
• Identify areas for data quality enhancement and implement strategies to resolve data quality issues, working closely with program/project managers and subject matter experts (SMEs).
• Define and implement data strategy, policies, and controls to ensure the accuracy, completeness, security, and reliability of enterprise data, particularly in areas such as client valuation, pricing, and product development.
• Design and implement enterprise data governance and security strategies, including encryption, masking, and authorization methods, to safeguard sensitive information.
• Provide valuable data insights to business and functional teams, recommending enhancements to data consolidation and streamlining data collection and reporting processes through automation.

• Contribute to the development and implementation of CRM marketing automation, journeys, and processes to enhance business efficiency.
• Utilize CRM tools to analyze the customer database, extract insights, and collaborate with cross-functional teams to implement recommendations.
• Serve as the custodian of data for the brand, ensuring the maintenance, monitoring, and updating of the customer database in alignment with internal data quality policies.
• Assist in the allocation of leads and closely monitor follow-up tasks by the sales team.
• Generate and analyze results from CRM campaigns, extract insights, and propose data-driven ideas and recommendations.
• Identify and suggest suitable target audiences/segments for sales and after-sales marketing campaigns.
• Track, generate and analyse weekly sales funnel and campaigns reports.
• Customer profiling, data mining and customer need analysis

• Diploma/Degree holders in Marketing / CRM / Business Administration.
• 1-2 years of Marketing/CRM-related experience.
• Knowledge of CRM principles and customer journeys.
• Meticulous and well-organised with the ability to multitask under pressure

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1875181

Triton AI Pte Ltd

License no. 21C0661

• Permanent position, Salary up to $4,000 with Bonus
• At least 1 year of Marketing/CRM-related experience

• At least 2-3 years’ experience in business intelligence, consultancy, or data research
• At least 2-3 years’ experience in an editorial or analytical role
• Proven experience in analysing complex company financial data and company due diligence, and making consistent assessments of a company’s financial standing

This position presents an exciting opportunity for an energetic, results-driven, and personable individual with a strong analytical and data experience.

Job Description

• Produce an agreed number of credit reports per month against volume and timeliness KPI and support the Credit Risk Team Lead – APAC to ensure the regional and global targets are met
• Actively research and analyse companies, shipping, and financial markets as well as other relevant data and information to make confident and concise credit risk judgements while displaying knowledge and integrity
• Support the Credit Team Lead in training and onboarding Credit Report Analysts, mentoring and coaching junior colleagues, and contribute to training materials and process improvements
• Grow and maintain a network of contacts via phone and email by engaging in proactive information exchange, acting as a brand ambassador of Lloyd’s List Intelligence
• Ensure that any critical and non-critical errors in output are flagged and escalated accordingly
• Support the Credit Risk Management Team by being a regional go-to person for company analysis SME and therefore attend client calls when required alongside sales and/or product management, and when required support our account managers on networking events and relevant conferences
• Stay abreast of market news and new Seasearcher product developments and functionality covered in Go to Markets and continually develop your understanding of the maritime industry to enable high quality writing on the profile of the company
• Foster collaboration and share information with other in-house data teams that research company ownership structures, to optimise the quality of data

• At least 2-3 years’ experience in business intelligence, consultancy, or data research
• At least 2-3 years’ experience in an editorial or analytical role
• Proven experience in analysing complex company financial data and company due diligence, and making consistent assessments of a company’s financial standing
• Proficiency in written and spoken English
• A customer-first approach and strong time management skills and ability to produce high quality content within set deadlines
• Ability to compile training methodology and feedback documents to drive output enhancements is a pre-requisite
• Advanced OSINT research skills is a requirement
• Strong stakeholder management is required in this role, across all areas of the business
• A flexible, can-do attitude with the ability to manage several ongoing tasks at any one time

• Perm
• Attractive Leave Benefits
• Work from anywhere policy
• Medical & Insurance Coverage

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Senior Data Analyst (Growth), you will be part of a regional function working to support the growth of all business units in Funding Societies. The role requires using a mix of skills including analysis, effective communication, creative problem solving, project management, and cross-functional collaboration to solve complex business problems. Success in this role is tied to your ability to strive despite being in an ambiguous environment.

The ideal candidate will be an independent self-starter who can develop a strong perspective on what world-class marketing and growth analytics should look like at Funding Societies, can work with teams to understand ambiguous challenges, empower business users to make strategic decisions, and drive the company’s overall growth. We solve challenging problems. As long as you are adding value to the business, you are your own boss. You’ll get loads of support from your friendly, talented and motivated colleagues.

What will you do:

• Insights Generation Evangelist: Own end-to-end insights generation processes, from hypothesis generation to analysis, extracting meaningful and actionable insights, to sharing findings with stakeholders
• Data Analysis: Conduct thorough and rigorous analysis of complex datasets using various tools and methodologies to derive insights that drive business strategy and growth.
• Strategic Recommendations: Translate data findings into clear, concise, and actionable recommendations to support key business initiatives and solve organizational growth challenges such as driving acquisition, reducing churn, improving retention, monetization and LTV
• Collaboration: Collaborate with cross-functional teams to understand their needs, ensuring insights align with organizational goals and contribute to informed decision-making.
• Continuous Improvement: Identify opportunities to enhance hypothesis generation methods, analysis techniques, and reporting frameworks to improve the overall insights generation process.
• Presentation and Communication: Effectively communicate insights and findings to stakeholders through compelling visualizations, reports, and presentations.

What we are looking for:

• 2+ years of working experience in Customer / Marketing Analytics
• Have experience with delivering analysis such as  Customer segmentation, Customer behaviors examination, Hypothesis testing
• Growth mindset, eager learner and humble in receiving feedback and implementing it
• Strong logical reasoning and analytical mind, able to break down complex problems in a structured and MECE manner 
• Can-do attitude where proposals and suggestions are proactively provided to stakeholders
• Independent learner who enjoys technical challenges (Google is your best friend)
• Outstanding communication and teamwork skills, with cross-departmental and cross-team projects experience, independently owning and promoting project execution
• SQL and BI visualization tools experience required. Experience with QlikSense will be an added advantage 
• English is required

Good to have:

• Experience in Agile workflow
• Exposure with MixPanel, Google Analytics, and marketing automation tools such as Intercom, Braze, Clevertap
• Experience with R/Python

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

• At least 2-3 years’ experience in business intelligence, consultancy, or data research
• At least 2-3 years’ experience in an editorial or analytical role
• Proven experience in analysing complex company financial data and company due diligence, and making consistent assessments of a company’s financial standing

This position presents an exciting opportunity for an energetic, results-driven, and personable individual with a strong analytical and data experience.

Job Description

• Produce an agreed number of credit reports per month against volume and timeliness KPI and support the Credit Risk Team Lead – APAC to ensure the regional and global targets are met
• Actively research and analyse companies, shipping, and financial markets as well as other relevant data and information to make confident and concise credit risk judgements while displaying knowledge and integrity
• Support the Credit Team Lead in training and onboarding Credit Report Analysts, mentoring and coaching junior colleagues, and contribute to training materials and process improvements
• Grow and maintain a network of contacts via phone and email by engaging in proactive information exchange, acting as a brand ambassador of Lloyd’s List Intelligence
• Ensure that any critical and non-critical errors in output are flagged and escalated accordingly
• Support the Credit Risk Management Team by being a regional go-to person for company analysis SME and therefore attend client calls when required alongside sales and/or product management, and when required support our account managers on networking events and relevant conferences
• Stay abreast of market news and new Seasearcher product developments and functionality covered in Go to Markets and continually develop your understanding of the maritime industry to enable high quality writing on the profile of the company
• Foster collaboration and share information with other in-house data teams that research company ownership structures, to optimise the quality of data

• At least 2-3 years’ experience in business intelligence, consultancy, or data research
• At least 2-3 years’ experience in an editorial or analytical role
• Proven experience in analysing complex company financial data and company due diligence, and making consistent assessments of a company’s financial standing
• Proficiency in written and spoken English
• A customer-first approach and strong time management skills and ability to produce high quality content within set deadlines
• Ability to compile training methodology and feedback documents to drive output enhancements is a pre-requisite
• Advanced OSINT research skills is a requirement
• Strong stakeholder management is required in this role, across all areas of the business
• A flexible, can-do attitude with the ability to manage several ongoing tasks at any one time

• Perm
• Attractive Leave Benefits
• Work from anywhere policy
• Medical & Insurance Coverage