• 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.

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.

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. 

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

About the role

Reporting to Vice President, Air, this internship role will have the opportunity to work with the different entities on exciting projects as well as to analyse various reports to provide information to our Regional Air Freight team for strategic business decisions. This 6-month full-time internship commences Dec 2024/Jan 2025.

What you will be doing

• Prepare monthly reports relating to air freight activities
• Detect irregular data from the reports and analyse the root cause
• Perform ad-hoc analysis as per requested by stakeholders
• Follow up with entities on the issues and/or comments of working reports
• Be involved in Middle Office Air Dashboard Enhancement Project
• Work with OMC on various projects on data management
• Maintain the BSA contract library
• Support RFQ activity to carriers for 2025 capacity

The successful applicant

Essential

• Polytechnic or university undergraduate or graduate in Business Management, Data Analytics, Data Science or related fields
• Meticulous, analytical, and can work independently
• Good interpersonal and communication skills
• Proficiency in MS Office (Excel, PowerPoint, Word)
• Good command of written and spoken English
• Knowledge in PowerBI and/or Tableau

Desirable

• Keen to learn, fast learner
• Systematic, organized and able to multi-task
• Able to work under pressure in a dynamic, fast-paced environment to meet tight deadlines
• Team player with positive attitude

1.    To perform Data Analysis and Reporting
a.    Analyse and generate reports of Asia Pacific data on Customer Backlog (CBL) 
b.    Work with Sales Logistics Customer Interface Team to ensure data quality and track the progress of CBL.
c.    Perform data validation, identify the root cause and resolves issues to improve the order fulfilment rate and overall impact on customer service level. 
d.    Write complex SQL queries to extract, transform, and aggregate data from large databases efficiently. 
•    Utilize Common Table Expressions (CTEs) to create temporary result sets and simplify query readability. 
•    Leverage Window functions to perform advanced analytical operations, such as ranking, partitioning, and aggregations, within SQL queries.
•    Optimize SQL queries for performance by using appropriate indexing strategies and query execution plans.
•    Employ various JOIN operations (INNER JOIN, LEFT JOIN, FULL OUTER JOIN) to merge data from multiple database tables efficiently.
•    Create subqueries and correlated subqueries when necessary to retrieve specific subsets of data.
•    Implement conditional logic and CASE statements within SQL queries to handle complex data transformations.

e.    Continuously optimize SQL queries for performance, scalability, and maintainability. 
f.    Monitor and tune database performance to ensure efficient data retrieval.

2.    To build and enhance scripts / dashboards to support Process Automation
a.    Build and enhance Power BI dashboards with existing databases (SQL database, etc.) on different Order To Cash (O2C) topics.
b.    Maintain and improve current Power BI dashboards, including enhancing SQL scripts in databases and DAX measures in Power BI.
c.    Provide technical support to resolve data-related issues and troubleshoot problems in dashboards, and reports.
d.    Develop Python scripts to streamline and automate manual data transformation processes. 
e.    Identify repetitive data preparation tasks and create reusable Python scripts to perform data cleansing, formatting, and aggregation. 
f.    Continuously optimize and enhance Python scripts for performance, scalability, and efficiency.

3.    Cross-Functional Collaboration
a.    Collaborate and align with central departments / stakeholders to support in achieving sales targets.
b.    Manage multiple projects simultaneously, ensuring timely delivery of data analysis and reporting solutions. 
c.    Collaborate with project stakeholders to define project scope, objectives, and deliverables.

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

Ready to play ?

We are the champs in crafting and slinging sporting goods, apparel, and equipment. Whether you're smashing goals or conquering the great outdoors, Decathlon's got your back – because winning is our favorite sport!

Job Summary:

The Data Analyst will be responsible for analyzing and interpreting data related to the performance and efficiency of the airport's BHS. The role involves working closely with operations, maintenance and IT teams to ensure that data-driven insights are used to optimize system performance, enhance baggage processing times, and improve overall passenger experience.

Key Responsibilities:

• Collect, process, and analyze data generated by the Baggage Handling System or the Material handling System.
• Monitor system performance metrics and identify trends, anomalies, and areas for improvement.
• Develop and maintain dashboards and reports to provide real-time insights into system operations.
• Collaborate with cross-functional teams to implement data-driven solutions for optimizing baggage flow and reducing processing times.
• Conduct root cause analysis of system failures or inefficiencies and provide recommendations for corrective actions.
• Support the IT and operations teams in integrating new technologies or upgrades into the BHS.
• Ensure data accuracy, integrity, and consistency across all reporting and analysis activities.
• Participate in regular performance reviews and provide insights to management for decision-making.
• Stay updated with industry trends and best practices related to airport operations and baggage handling systems.

• Entry Level
• Degree holder majoring in Electrical Power Engineering
• Salary $3,300 + $280 Fixed Allowance + AWS + VB
• Location: Jurong Island (company transport provided)

The Role: As a Maintenance Engineer (Electrical), you will play a critical role in maintaining our state-of-the-art manufacturing plants. Working closely with the Maintenance Manager, you will ensure the continuous, safe, and efficient operation of plant facilities.

Key Responsibilities:

• Oversee maintenance and instrumentation activities for manufacturing plant facilities, ensuring operations run safely and smoothly.
• Coordinate and execute major field maintenance tasks, prioritizing worker safety and facility integrity.
• Collaborate with internal and external stakeholders to ensure maintenance activities are completed on schedule, minimizing disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities in line with technical specifications and business requirements.
• Organize and conduct training sessions for staff and contractors to enhance skills and competency levels.
• Implement and manage systems in compliance with ISO 9001, ISO 14001, and SS506 standards.

Qualifications:

• Bachelor’s Degree majoring in Electrical Power Engineering with good grades
• Capable in power calculation
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is an advantage.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

What we’re all about.

Do you ever have the urge to do things better than the last time? We do. And it’s this urge that drives us every day. Our environment of discovery and innovation means we’re able to create deep and valuable relationships with our clients to create real change for them and their industries. It’s what got us here – and it’s what will make our future. At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

We're heading in one direction, the future. We’d love you to join us. 

The opportunity:  

To use your expertise in data platforms to drive the execution of the Data Management strategy in the APAC region and to be a global owner of a key solution, driving new product features. 

You will be working in the Data Management and Customer Intelligence team within the Product Office, influencing a diverse set of stakeholders across Quantexa, our partners and clients to understand requirements, shape the direction and positioning of the solution, maximise market opportunities and act as a thought leader in the industry. Your coverage will be cross industry with an initial focus on the Banking, Insurance, Telco, Government and Healthcare sectors. 

You will be helping shape our Data Fabric and AI capabilities a critical part of Quantexa’s company strategy as we scale our business across use cases, sectors and geographies. 

In regards to role location, this position is also open in our Sydney/Melbourne office.

You will drive the Data Management solution within the APAC region and a key influence globally, as part of the Product Organization. 

• Regional lead for data management solutions – acting as a go-to person for the sales and alliances team – to influence clients and help drive commercial opportunities. 

• Global ownership of the product solution in one of the following areas: data analytics, data warehousing, data quality management, master data management or data driven applications. 

• Be the ‘voice of the market’ and translate your insights into innovation projects and product roadmap, by supporting functional requirements and assisting with solution design. 

• Be a leader in the market, by building personal and Solution market eminence, publish thought leadership, engage industry analysts and be an active member of the external community including through social networking and events. 

• Enable the Sales, Solution Engineering and Alliances teams by creating relevant materials, engagement and education sessions. 

What you’ll bring:

• Strong experience with enterprise data management technologies and how to apply them, with a strong solution architecture and design background. 

• In depth experience in at least one of the following industries: Banking, Insurance, Telco or Government. 

• Ability to get traction for the adoption of data management solutions in meetings with prospects, including with technical roles (such as senior architects, head of data management, head of analytics) and c-suite. 

• A strong and persuasive communicator, able to bring-to-life technical concepts for business stakeholders and to jump into detail for the most challenging of technical stakeholders. 

• A presence in the market – comfortable with presenting and hosting events (conferences, webinars, roundtables). 

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

• Competitive salary

• Company bonus

• Annual leave, plus national holidays + your birthday off!

• Private Healthcare with Prudential, plus life insurance and critical illness

• Regularly bench-marked salary rates

• Well-being days

• Volunteer Day offWork from Home Equipment

• Free Calm App Subscription #1 app for meditation, relaxation and sleep 

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

Job Description

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage price records, sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks

• Entry-level with good grades
• Preferably major in Accounting
• Salary $2,500 - $3,500
• Diploma with 2 years experience; Degree entry level
• Location: Duxton Hill

Role Summary

As an Accounts Assistant, you will provide financial and administrative support to ensure efficient and accurate operations. You will be responsible for managing accounts, ensuring compliance with internal policies and external regulations, and assisting with various financial tasks.

Key Responsibilities

• Charter Hire Remittances: Ensure timely and accurate remittance of charter hire payments.
• Billing: Timely billing of expenses to owners and charter hire to sub-charterers.
• Account Analysis: Perform monthly analysis of owners' accounts and recovery accounts.
• Account Management: Accurately account for all liabilities, expenses, and payments in owners' accounts.
• Dispute Resolution: Resolve disputes with owners in collaboration with line managers, accounts teams, and ship brokers.
• Payment Follow-Up: Monitor and follow up on payments to/from owners and sub-charterers.
• Account Finalization: Ensure timely finalization of owners' accounts.
• Compliance: Ensure adherence to internal processes, procedures, instructions, and deadlines.
• Audit Support: Prepare accounts schedules for audits and address audit concerns promptly.
• Ad-Hoc Projects: Assist with other projects as required.

Requirements

Education & Knowledge

• ACCA/Accounting Degree or diploma holder.
• Fresh graduates with an ACCA/Accounting degree are encouraged to apply.
• Diploma holders should have 2-3 years of relevant experience.

Skills & Characteristics

• Strong communication and interpersonal skills.
• Excellent problem-solving abilities.
• Analytical mindset with attention to detail.
• Proficiency in Microsoft Excel.
• Ability to meet tight deadlines and work under pressure.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

Your Career

As a SASE SE Specialist for network security transformation, you provide technical expertise and guidance in customers' network security transformation and zero trust journey.  You will be key in defining technical solutions that secure a customer’s key business imperatives. 

As the CASB/DLP expert within our SASE team you will be responsible for expanding our CASB/DLP footprint in JAPAC. You evangelize our industry leadership in on-prem, cloud, and security services that establish Palo Alto Networks as a customer’s cybersecurity partner.

Your Impact

• Collaborate with sales teams to recommend and develop customer solutions on network transformation with SSE & CASB/DLP.

• Present to customers as our expert at all levels in the customer hierarchy, from practitioner to senior leadership.

• Lead and support customer demonstrations that showcase our unique value proposition.

• Responsible for prospective customers and partners' Technical Validation projects based on best practices to ensure technical win in assigned opportunities.

• Architect CASB/DLP & SSE solutions that will help our customers strengthen to transform their network and simplify their security posture

• Document high-level design and key use cases to ensure proper implementation and value realization of Palo Alto Networks solutions

• Lead conversations about industry trends and emerging changes to the network & security landscape.

• Responsible for discussing and highlighting product alignment with customer requirements and differentiation

• As the main technical point of contact for CASB/DLP & SSE, you will assist and collaborate to respond effectively to RFIs/RFPs.

• Position Palo Alto Networks or Partner delivered services as appropriate to ensure proper implementation and value realization of Palo Alto Networks solutions

• Discuss, with credibility, competitive offers in the marketplace and position ours as the best alternative