[Order Number: 764780]

Hybrid Working Arrangement

Excellent data visualization skills

Responsibilities

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations
• Automate existing recurring reports and analyses
• Design and develop the data architecture for BI solutions
• Build data pipelines where necessary for the development of visualization solutions
• Ad-hoc analysis required by management to support strategic initiative

Requirements

• Candidate must possess at least a Degree in mathematics, computing, statistics, business analytics, finance or equivalent
• Candidate must have at least 2 years of experience in business setting focused on data analysis, insights, and recommendations.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Lim Lai Xin
EA Personnel Reg. no.: R2197913
EA License no.: 07C5771

[Order Number: 764780]

Hybrid Working Arrangement

Training Provided

Responsibilities

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations
• Automate existing recurring reports and analyses
• Design and develop the data architecture for BI solutions
• Build data pipelines where necessary for the development of visualization solutions
• Ad-hoc analysis required by management to support strategic initiative

Requirements

• Candidate must possess at least a Degree in mathematics, computing, statistics, business analytics, finance or equivalent
• Training Provided

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Lim Lai Xin
EA Personnel Reg. no.: R2197913
EA License no.: 07C5771

• Design, develop, and maintain scalable data pipelines and ETL processes using Hadoop and Spark.
• Write efficient and optimized data processing jobs in Scala to transform and load data.
• Utilize SQL for querying and manipulating data across various databases.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that meet business needs.
• Monitor and troubleshoot data processing workflows to ensure high performance and reliability.
• Implement best practices for data quality, governance, and security.
• Document data engineering processes, workflows, and architecture for team knowledge sharing.
• Stay updated on industry trends and emerging technologies to continuously improve our data strategies.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Hadoop ecosystem components (e.g., HDFS, Hive, Pig).
• Hands-on experience with Apache Spark for big data processing.
• Proficient in Scala programming for data transformation tasks.
• Advanced SQL skills for querying and managing large datasets.
• Experience with data modeling, data warehousing, and ETL processes.
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
• Strong analytical and problem-solving skills.

• Assist in the development and optimization of ETL processes using PySpark and Databricks.
• Collaborate with team members to design and implement data models and architecture in AWS.
• Maintain and monitor data pipelines to ensure data quality and reliability.
• Utilize GitHub for version control and collaboration on codebases.
• Participate in code reviews and contribute to best practices in coding and data engineering.
• Support the team in implementing CI/CD practices for data workflows.
• Document processes and workflows for data engineering tasks.

• Familiarity with AWS services (e.g., S3, Redshift, Glue) and cloud computing concepts.
• Basic knowledge of Databricks and PySpark for data processing.
• Understanding of Git and experience with GitHub for version control.
• Awareness of DevOps principles and tools (e.g., CI/CD, Docker) is a plus.
• Databricks certification is a plus.

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 passionate and strong leader in Data Analytics and Data Science to lead the strategy, development, and implementation of data-driven solutions across the organization. This role will oversee and manage the end-to-end process, from data collection, analysis, solution deployment and business integration.

What you will do:

• Data Strategy & Vision: Understand key company priorities and translate them into an actionable Data strategy to drive data maturity across the organization, enabling business growth, improve risk management, and enhanced customer experiences. 
• Team Leadership: Lead and mentor the Data Analytics and Data Science domain leads and their respective reportees to develop a high performance data team
• Influence Stakeholders: Partner with cross-functional teams such as Data Engineering, Product, Marketing, Sales, Risk, and Finance to drive data-driven initiatives, align on objectives, and ensure effective execution. 
• Data to Drive Business Impact:  Initiate new opportunities and continue existing projects where data can deliver analytics recommendations to drive key business metrics, and develop processes and frameworks to enable this.  

What we are looking at:

• At least 7+ years of experience in data analytics, data science, or related fields, with at least 3 years in a leadership role. Experience in  Financial Services, Fintech, and/or Tech companies and domain exposure to SME credit risk is preferred.
• Proven experience leading and managing teams in a fast-paced, high-growth company or fintech environment. Experience being a manager of managers is preferred.
• Proficient in SQL, Python or R and data visualization tools (e.g., Tableau, Qlik). Experience selecting and implementing tools for analytics and data science is preferred.
• Ability to translate complex data insights into actionable business strategies and influence stakeholders.
• Excellent communication skills, capable of presenting insights to non-technical stakeholders and influencing strategic decisions.
• Excellent problem solving and critical thinking skills  in a structured fashion
• Strong prioritization abilities according to business needs and constraints.

• 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

We are seeking an experienced Data Engineer with a strong background in Hadoop, Spark, and SQL, specifically within the banking sector. The ideal candidate will be responsible for designing, building, and maintaining large-scale data pipelines and platforms to support critical banking applications and decision-making processes.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain efficient data pipelines and workflows using Hadoop and Spark frameworks to support the bank’s data processing needs.
• Data Integration & ETL: Create ETL processes to extract, transform, and load large datasets into Hadoop ecosystems from various banking systems, ensuring data consistency and accuracy.
• Database Management: Write optimized SQL queries to manage and analyze data stored across relational databases, data lakes, and cloud platforms.
• Data Processing & Analysis: Implement scalable data processing solutions to analyze large datasets, provide insights, and deliver solutions for financial services and risk management.
• Collaboration: Work closely with business analysts, data scientists, and IT teams to ensure data solutions align with banking sector needs, including compliance with regulations and reporting requirements.
• Performance Optimization: Fine-tune Hadoop and Spark applications for performance, improving throughput and reducing latency.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Strong years  experience as a Data Engineer, specifically within the banking or financial sector.
• Proficiency in Hadoop ecosystem tools (HDFS, Hive, HBase) and Spark for large-scale data processing.
• Strong experience with SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
• Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes) is a plus.
• Experience in data governance and compliance regulations within the financial industry.
• Excellent problem-solving and analytical skills.

• Salary: SGD 6000 - 9500
• Great Work Culture
• Includes comprehensive insurance for self and family. Includes Specialist and Dental Coverage.
• Includes Standard Annual and Sick Leave

Team Summary

Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

Join us as a Senior Manager, Data Solutions and Analytics and play an instrumental role in steering our Data strategy and delivery of data projects with Visa clients. You will translate analytical insights and used cases into captivating narratives tailored for our clients and stakeholders while offering valuable data advice to support business growth.

What a Senior Manager, Data Solutions and Analytics does at Visa:

• Identify new client opportunities by collaborating with market and regional teams.

• Develop data narratives, case studies and play back results to internal teams across the AP region.

• Grow Presence of Data Science projects with Visa clients across the region.

• Lead Commercialization activities for client data projects across the region.

• Coordinate Data Science initiatives across market and regional accounts.

• Coordinate with client data projects delivery team and project governance.

• Work closely with our different functional practice initiatives and account planning sessions.

Why this is important to Visa

This role will be vital in the growth of our Data as a Service business across Asia Pacific. The role will help to scale, diversify and transform our Managed Services Data capabilities which will support Visa’s business in the region. You will evolve our Data Services to drive uptake and delivery of Data projects. You will own key internal and external stakeholder relationships with Visa teams and our vendors as well as supporting our clients.

Projects you will be a part of:

This role will play a critical role in developing compelling stories from data to drive client actions and optimize portfolio performance. You will be working closely with teams across different regions to build new solutions and ideate approaches for various markets.

We’re searching for a Data Center IT Operator to be part of our diverse team of talent here at NCS!

If you believe in going above and beyond, embodying excellence, and bringing people and technology together like never before, we would love to have a conversation with you!

What we seek to accomplish together:

• Perform shift duty to support 24x7 DC Operations stand-by duties for emergency.
• Assist to oversee the IT equipment hardware inventory on individual rack inside the DC
• On-site Management of works conducted within the Data Centre such as site preparation, site survey, network cabling, electrical wiring, air-conditioning, building power supply (including power generator) tests, infrastructure & System maintenance, on-site/off-site standby activities etc
• Coordinate preventive maintenance for Data Centre downstream infrastructure which includes Uninterruptible Power Suppler (UPS) systems, Water Detection systems, Fire Suppression systems, PDU, CCTV systems, Card Access systems etc.
• Operate Electronic Visitation Management System (Update Authorizer and customer access request accurately and promptly).
• Remote Hand Support (Media Management, Visual Inspection, Reboot devices, staging room, Physical connect/disconnect of HDD, network cable connectivity test, insertion of fibre SFP).
• Handle input and output media with due care for integrity of data and utility of media for subsequent use, including off-site storage.
• Perform Event Monitoring for Data Centre Facilities infrastructure to ensure they are functioning optimally (e.g. UPS, power, temperature control, humidity, water detection sensor, etc.)
• Perform event monitoring for IT Systems and Network infrastructure.
• Perform incident escalation. Ensure incidents are responded and attended to. To redirect for 2nd or 3rd Level resolution base on criticality, impact and customer Service Level Agreement (SLA).
• Manage and mitigate escalations of high impact system failures and assist in tracking the incidents till closure.

You will primarily be:

• Responsible for the deployment, and support of analytical solutions as part of an established APAC Analytics & BI team.
• Supporting our regional data operations team, project management, and platform experts to deploy 1st party data  solutions for our media & CRM teams across Asia-Pacific.
• Proactively and innovatively driving excellence in the delivery of data and analytics solutions for advertising and CRM.
• Supporting the regional data team in partnering with stakeholders to provide innovative data solutions at both regional and local market levels.

• Analyse the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

To assist with data entry tasks and general administration.

Job Responsibilities:

• Accurately enter and update data working with spreadsheets and student admin system
• Verify and cross-check the information to ensure accuracy
• Organize and maintain data files
• Assist with other clerical duties as needed
• Any other duties as assigned by the supervisor

Knowledge and Skills:

• Competent in MS Office and Google applications, and basic internet navigation skills (preferably strong in MS Excel Skills)
• Proficiency in either English or Chinese, or both

Personal Attributes:

• Responsible, reliable and able to follow instructions
• Meticulous with a keen eye for detail to ensure work accuracy
• Good time management and organizational skills

Availability: Must be available up to 31 Dec 2024

If you're looking to gain experience and improve your skills, apply today by sending your resume to [email protected]

As a Data Engineer specializing in Data Mapping & ETL, you will play a crucial role in designing and implementing data solutions that ensure efficient and accurate data movement across systems. Your responsibilities will include:

• Developing and maintaining ETL processes for data extraction, transformation, and loading.
• Conducting data mapping to transform data across multiple systems and formats.
• Collaborating with data architects and other stakeholders to understand data requirements.
• Optimizing ETL processes for performance and reliability.
• Conducting data quality assessments and implementing data validation techniques.
• Documenting ETL processes and best practices for future reference.

This role will require a blend of technical expertise and analytical skills to manage complex data flows effectively.

To be successful in this role, you should meet the following requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience in ETL development and data mapping.
• Strong proficiency in SQL and experience with databases such as Oracle, Postgres, or SQL Server.
• Experience with ETL tools such as Apache NiFi, Talend, or AWS Glue.
• Familiarity with data warehousing concepts and dimensional modeling.
• Knowledge of data quality frameworks and data governance principles.
• Proficient in scripting languages like Python or Shell.
• Ability to work in an Agile environment and collaborate with cross-functional teams.
• Preferred : Immediate joiner or max 1 Month

Team Summary

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Solutions organization supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. The Marketing function is supported by the Global Data Solutions organization, a high-performing team of data scientists, data analysts and data engineers helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa.

To support our rapidly growing group we are looking for data scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. 

What a Marketing Data Scientist does at Visa:

The position will be based in Visa’s Singapore office. The successful candidate will have the opportunity to work on a variety of analytical challenges across consumer behavior analytics, marketing campaign measurement, predictive modeling, alternative marketing data capability development such as matching research data to internal transaction data, etc. S/he will have a highly analytical bent of mind and requisite skills to independently analyze and interpret data insights.

• Conduct statistical analyses on transaction data with big data tools like Hadoop and Spark to identify interesting and valuable insights and trends, produce visualization and reports to internal and external teams
• Supporting the development of a robust system for measuring and optimizing the quality of deployed algorithms and models.
• Monitoring AI models in production to evaluate performance, model drift, and decay.
• Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
• Partner with roles across the organization including consultants, engineering, and data scientists to address prioritized business problems

Why this is important to Visa

With a rapid change in the payment landscape, new regulations around Open banking and Open data and the emergence of new Fintech players – the payment ecosystem is rapidly evolving, and our clients are looking to Visa as the payment experts to help them navigate through the opportunities and challenges that these changes pose.  Visa with its global reach and rich transaction data set combined with Marketing expertise, is ideally positioned to assist clients solve their strategic business problems with insights & world class go-to-market ideas to help grow our clients business.

Projects you will be a part of:

The nature of projects this role will play a key role in vary. This would include collaborating with Visa Marketing teams, primarily the Insights & Analytics team to help solve our clients’ most strategic business problems by leveraging data science solutions, such as working on integrating VisaNet data with other external datasets .

• Matched Panel/Research: Integrate Survey based consumer data with Visanet proprietary datasets to enrich transactional information with demographic, attitudinal and behavioral information to help Visa & our client’s measure their campaigns and drive loyalty.
• Marketing Measurement: Measure and optimize Visa and our clients’ campaigns through a variety of methodologies ranging from experiments (test and control) to econometric models
• Time-series/predictive models: build and use simulations to understand what if scenarios, and projected outcomes of media investments vs not investing
• Consumer behavior analytics: Design and develop analytics for Visa and our clients’ to quantify transactional and payment volume outcomes of changing consumer behavior, e.g. loading card on file, subscribing to streaming services, tapping to pay.

• Design, implement, and maintain ETL processes to extract data from multiple sources, transform it based on business rules, and load it into target systems.
• Develop and manage data mapping documentation, including source-to-target mappings and transformation logic.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and optimize data flows.
• Conduct data quality checks and validation to ensure the accuracy and integrity of data.
• Optimize ETL workflows for performance, scalability, and reliability.
• Monitor and troubleshoot ETL processes, resolving issues promptly to minimize downtime.
• Stay up-to-date with industry best practices and emerging technologies in data engineering and ETL.

• Proven experience as a Data Engineer, with a strong focus on data mapping and ETL processes.
• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Familiarity with data warehousing concepts and architecture.

• West Location
• Reputable Transportation Company
• Good company benefits

As a Data Administrator, you will be responsible for the following duties:

• Verify details (Model/ Mover/ Company Name)
• Verify if inspection is required
• Determine if the customer is using our account or their own account for inspection
• Review Before & After Repair Photos
• Upload Photos to ensure all billed items have corresponding photos
• Check all WhatsApp messages
• Ensure every completed job is accounted for and submitted in system
• Review job scope details
• Verify unclear issues with workshop workers or prepare to address potential errors
• Based on system requirement, list out the complete job scope in the maintenance report
• Email the maintenance report to the customer
• Email the billing department with necessary details
• Purchase goods or services that meet the quantity and quality expectations of the organization
• Evaluate and negotiate contracts with vendors
• Track inventory and restock goods when needed
• Stay up to date on industry trends and new products
• Compare available goods with industry trends to determine appropriate pricing

Requirements

• Candidate who is IT savvy will be an added advantage
• Candidate who have 1 year of administrative/ customer service experience will be an added advantage

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email
Email Address: [email protected]

We regret to inform that only shortlisted candidates will be notified.

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

The Louis Dreyfus Company Internship Program 2025 is a six-month program that provides students an opportunity to gain hands-on experience in commodity trading industry. The program is designed to equip interns with foundational knowledge and professional skills in one of the company’s business platforms.

As a Data Scientist, Systematic Trading Intern, you will be introduced to and become an integral part of our Data Science, Systematic Trading team. You will work with experienced professionals in Data Science, Systematic Trading team and interact with colleagues to gain insight into the commodity industry. You will be given the opportunity to collaborate with various stakeholders to develop your own sense of the working environment in the business platform.

In your role, you will leverage your expertise in Python programming, ETL processes, and cloud-based DevOps to enhance our data infrastructure and software development practices used for trading. Your contributions will be key in supporting our systematic trading activities, and overall, our data-driven decision-making processes. Your work will allow us to empower our trading platforms with robust data solutions, crucial for developing and optimizing profitable trading algorithms. You will also face the exciting challenge of structuring complex and large financial time series data, ensuring our trading strategies are informed by accurate, high-quality data.

Internship duration:

• Between Jan to June 2025

Main Responsibilities:

• Review cutting-edge research papers on (Gen) AI to apply them to systematic trading activities
• Assist in the development and maintenance of ETL pipelines, focusing on the data requirements of our systematic trading projects
• Help manage complex financial time series data, like Futures contracts, to ensure the trading strategies are based on accurate data
• Support the creation of software solutions in Python, emphasizing scalability, performance, and reliability
• Contribute to automating and scheduling workflows to improve operational efficiency
• Collaborate with data scientists and trading teams, understanding their data needs and assisting in providing technical solutions for effective data analysis and strategy implementation
• Engage in code quality improvement through strong CI/CD practices, automated tests, and peer reviews

Requirements:

• Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Information Systems, Quantitative Finance, Engineering or a related field
• Technical Skills:
  • Proficiency in Python for data manipulation, visualization, and dashboard development
  • Familiarity with Scheduling Tools, and Machine Learning Operations principles and practices
  • Willingness to learn software development best practices
  • Knowledge of data cleaning techniques and best practices
  • Interest in ETL processes, data modelling, warehousing
• Analytical Mindset:
  • Ability to analyze complex data sets and derive meaningful insights
  • Strong problem-solving skills
  • Attention to detail
• Communication Skills:
  • Excellent verbal and written communication skills
  • Ability to explain technical concepts to non-technical stakeholders
• Other Skills & Knowledge:
  • Willingness to work both independently and collaboratively in a team environment
  • Interest and knowledge in economics, finance, systematic trading, or agricultural commodities sectors, is a plus

PRISM+ is the largest Singaporean direct-to-consmer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities:

• Analyze large, complex datasets to identify trends, patterns, and correlations that provide valuable insights into business performance and customer behavior. Utilize statistical methods and machine learning techniques to extract meaningful information from data.
• Develop and deploy predictive models to forecast key business metrics, such as customer lifetime value, demand forecasting, and resource requirements. Continuously refine and improve models based on performance evaluation and feedback.
• Identify relevant features and variables that influence the outcome of predictive models. Conduct feature engineering to extract and transform raw data into actionable insights. Apply techniques for feature selection and dimensionality reduction to enhance model performance.
• Evaluate the performance of predictive models using appropriate metrics and validation techniques. Conduct rigorous testing and validation to ensure the accuracy, reliability, and generalizability of models across different datasets and scenarios.
• Communicate findings and insights effectively through data visualization techniques, such as charts, graphs, and dashboards. Translate complex analysis results into clear and actionable recommendations for stakeholders.
• Collaborate closely with cross-functional teams, including software developers, business analysts, and stakeholders, to understand business requirements, define success criteria, and integrate analytical solutions into business processes.
• Stay abreast of emerging trends, technologies, and methodologies in data science, machine learning, and related fields. Experiment with new techniques and tools to enhance analytical capabilities and drive innovation within the organization.

• Proven experience as a Data Scientist, with a strong track record of developing and deploying predictive models in real-world applications.

• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels of the organization.

​​​​​​We are looking for a skilled and seasoned Data Director to join our team and lead the development of data-driven solutions. Your primary responsibility will be to build a high-performing team that is dedicated to delivering innovative and effective solutions that meet our customers' needs.

• Develop and implement advanced data-driven solutions to address complex business challenges.
• Lead a team of data scientists and analysts, optimizing campaign performance.
• Champion campaign effectiveness and drive the development of data-driven strategies.
• Build team morale and motivation by recruiting, coaching, and supporting team members to achieve excellence.
• Act as a thought leader, initiating programs to advance team skills and knowledge.
• Advocate for the use of consumer analytics within the agency and play a pivotal role in representing the data team during business pitches and presentations.

•  
• 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
•  

Primary Objective:

1. To support growth and boost Treasury’s Revenue and Franchise growth
2. Responsible for conducting regular KYC/due diligence/AML/Related/Connected Party for Treasury
3. Key data manager to ensure all data related to FIs & Issuers are maintained accurately in systems.
4. Maintain relationships with Correspondent Banks and to identify business opportunities, to promote cross referral businesses.
5. Market to foreign/domestic correspondent banks to grow Treasury’s business/product lines
6. To support Correspondent Banking Relationship including Nostro/Vostro Accounts, and enhance existing business arrangements.
7. To assist Group FI in Singapore Branch’s FI relationship with Global Banks
8. To assist Treasury in building relationship to obtain stable funding & issuance programs
9. To provide new FI solutions/products to Treasury/Branch
10. Any other ad-hoc duties or projects as assigned by superior / Head of Treasury

Key Responsibilities:

Data & KYC Officer

1. As key officer for on-boarding of Treasury FIs/NBFIs, to perform all required initial KYC, Due Diligence, AML, related party & other required screenings.
2. To diligently perform regular KYC, Due Diligence, AML and related reviews for Treasury’s FIs, NBFIs & Issuers.
3. Data officer for all Treasury FIs/NBFIs/Issuers static data, to perform static data maintenance & review.

FI Relationship Management

1. To work in collaboration with Group FI in managing a network of FI relationship that is instrumental to revenues generation and expense controls.
2. Maintain regular close relationship or communications with FIs & NBFIs for products, business opportunities and dealing lines/relationship.
3. To liaise with GFI in annual review of lines and increase the counterparty banks lines for Singapore.

Financial Perspective

1. Cross sell of existing Treasury/FI Products to generate and increase revenue
2. Assist with Bank’s NCD program and eMTN issuances and other funding sources
3. Support the Department/Division Head in the delivery of banking services to meet the Department/Division’s revenue targets. 

FI Support and Advisory

1. Provide support /advisory role Treasury and Branch on queries relating to international FI business
2. Provide FI solutions and support from agent banks for their international payment, trade and treasury support requirements

Customers / Client Coverage

1. Build and maintain effective relationships with correspondent banks/NBFIs that enhances service delivery for Treasury
2. Develop and maintain strong stakeholder management with key stakeholders both internally and externally
3. Involved in negotiation with correspondent banks on matters with regards to services fees and pricing, as well as seek solutions to finalize new/potential business transactions.
4. Develop and maintain strong stakeholder management with key stakeholders both internally and externally

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

•  Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities .

• Proven 4+ Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

We are seeking a talented and experienced Data Engineer (Quantexa)with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must.

Responsibilities:

·        Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

·        Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

·        Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

·        Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

·        Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

·        Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

·        Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

·        Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

·        Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

·        Ensure data quality and integrity throughout the data processing lifecycle

·        Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

·        Optimize data engineering workflows for containerized deployment and efficient resource utilization

·        Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

·        Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

·        Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

·        Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

·        Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

1. More than 5 years of experience as a Data Engineer
2. · Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
3. · Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
4. · Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
5. · Expertise in the Scala programming language and familiarity with functional programming principles
6. · Prior experience with the Quantexa tool is highly desirable
7. · Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
8. · Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
9. · Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
10. · Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
11. · Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
12. · Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
13. · Background in integrating and utilizing Elasticsearch for data indexing and search applications
14. · Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
15. · Experience with distributed computing, parallel processing, and handling large datasets
16. · Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
17. · Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
18. · Familiarity with version control systems (e.g., Git) and collaborative development environments

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.

Are you passionate about data and eager to make a real impact? We're looking for a motivated Data Scientist to join our driven, fun, and fast-paced team at Funding Societies! This is a fantastic opportunity to collaborate with seasoned experts, sharpen your skills, and contribute to projects that shape the future of our business. If you're ready to dive into data, build models, and learn every day, this role is for you!

What you will do:

Model Development and Analysis:

• Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more.
• Support the calibration of model parameters and the optimisation of business logic.
• Ensure models provide meaningful, actionable insights that help drive key business decisions.

Data Exploration and Insights:

• Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes.
• Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders.

Model Infrastructure and Automation:

• Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models.
• Participate in automating workflows for tasks like model training, validation, and monitoring.

What we are looking for:

• 1-3 years of experience in data science or related fields.
• Proven experience as a model developer in machine learning and statistical analysis projects.
• Familiarity with programming languages like Python and SQL.
• Interest and experience in fintech and credit modelling is a bonus.

Others:

• Strong analytical mindset with attention to detail and a problem-solving attitude.
• Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning.
• Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders.

• 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

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

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 are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data analyst or related role.
• Hands-on experience in Tableau, Power BI, AWS Glue, AWS RedShift, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, 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 Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive 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.activate.sg/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.

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.