The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

We are looking for a responsible and organized Office Clerk to help manage our office operations and ensure smooth company functioning. The main duties include:

Job Description:

• Overseeing general office administration
• Assisting the manager with tasks such as logistic and document organization, etc,.
• Supporting daily office operations and handling routine tasks

Requirements:

• Proficiency in spoken English
• Strong sense of responsibility

This position offers a relaxed working environment.

Work Place:

BOON LAY WAY TRADEHUB

Accounting

• Manage month-end and year-end accounting close procedures (GL, AP, AR, Balance sheet reconciliations, Financial analysis & commentaries, etc)
• Lead annual financial forecast preparation and reviews
• Ensure compliance with local accounting standard, as well as internal financial control standards
• Manage treasury and cash management functions.
• Maintain internal control over accounting records, payments, accruals and receipts
• Prepare service fee and other billings to inter-companies.
• Prepare financial reports for statutory auditing, tax filling and other regulatory requirements.
• Liaise with internal and external auditors, tax advisors and regulators.
• Participate in ad hoc projects and responsibilities as assigned
• Submit CPF contribution
• Handle local staff and Foreign Workers' payroll

Admin

• Apply Renew & Issue of work permit. Arrange SOC & required courses for the workers
• Dormitory check in & check out
• Update staff & workers leave application
• Answer and direct phone calls.
• Distribute and mailing documents.
• Develop and maintain a filling system
• Update and maintain office policies, procedures, insurance and contact list.
• Maintain office supplies.
• Provide general support to visitors.
• Ad hoc duties assigned by the Management

Requirements:

• Minimum 3 years of relevant working experiences.
• Able to work independently.
• Able to start work immediately.
• Strong proficiency in excel
• Meticulous, detailed, independent as well as a team player

Part-time

Near Raffles Place MRT

R&R

• Administrative Support: Provide administrative support to lawyers, including conducting searches, managing calendars, scheduling meetings, organizing travel arrangements and fetching mails/deliveries. The office size is < 5 pax.
• Document Support: Proofread, format, print and store MS Office files.
• Management Support: Liaise with internal and third-party providers in relation to accounting, legal, HR and IT.
• Office Supply: Keep abreast of office supplies inventory, order supplies and ensure office equipments are ready for use.
• Client Greeting: Handle inquiries via phone, greet visitors and ensure a professional and welcoming environment.

Qualifications

• Tertiary education diploma or above.
• Minimum 1 year of relevant experience.
• Proficient with Microsoft Office applications.
• Excellent communication skills in both spoken and written English.
• A team player with good interpersonal skills.
• Korean is a plus but not a must.

Only shortlisted candidates will be notified.

Morgan McKinley is seeking a Data Scientist for a 12 months contract assignment with a possibility to extend or to go perm!

Job Responsibilities:

• Innovate: Develop and implement cutting-edge LLM-based applications, including AI chatbots, with a focus on reusability and scalability.
• Validate: Design and execute data-driven experiments to assess the effectiveness of our LLM solutions.
• Analyze: Use advanced ML algorithms to dissect large-scale data and provide actionable insights for complex business problems.
• Collaborate: Partner with cross-functional teams to identify new opportunities for LLM applications that can propel merchant growth.
• Evolve: Stay ahead of the curve by keeping up with advancements in LLM and ML technologies, applying your knowledge to continuously enhance our solutions.

Job Requirements:

• A PhD or Master's degree in Computer Science, Operations Research, Mathematics, or related fields.
• A minimum of 2 years of relevant work experience in data science or a similar domain.
• Proficiency in programming languages such as Python, PyTorch, SQL, and Spark.
• Strong grasp of ETL processes and experience with large data platforms.
• Hands-on experience with LLMs and a genuine enthusiasm for exploring their applications.
• Excellent analytical and problem-solving skills, with the ability to contribute both independently and as part of a team.
• Strong communication skills, adept at conveying complex concepts to non-technical stakeholders.

Why Join Us?

• Impactful Work: Be at the forefront of AI innovation and play a crucial role in transforming how businesses operate.
• Dynamic Environment: Collaborate in a fast-paced, supportive setting that encourages growth, learning, and creativity.
• Professional Development: We offer opportunities for continued learning and career advancement in the rapidly evolving field of AI and data science.
• Competitive Compensation: Enjoy a competitive salary and benefits package that recognizes your expertise and contributions.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.


Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

The key duties and responsibilities of the role include (but are not limited to):

• To prepare and compile data for report submission
• Referring to database and data entry
• Conducting data quality control

Requirements

• SINGAPOREANS ONLY
• Willingness to keep a working ledger of all tasks done
• Familiar with using MS Word/Excel
• No criminal history (will have to obtain security clearance)

• Reporting to the Team Manager, monitor and ensure product delivery velocity with good & transparent communication
• Be the leader of the unit spearheading new projects with goals / vision aligned with HoD's direction, together with fellow data scientists, under the 5 pillars in the team (Forecasts x 2, Pipeline, Optimization and Visualisation)
• Provide guidance to junior staff in SG office and nurture them with the aim to build up a solid support force for data science-related product development
• Be the Product Owner for OASIS data pipeline maintenance, initiate and coordinate deployment of enhancement whilst overseeing the overall stability of the pipeline
• Ensure all products are delivered without exceptional results and address failure with Product Owner within tolerance timeline
• Initiate enhancement of in-house forecast solution with information provided by counterparts/front office through meetings, visits and inquiries
• Follow up on poor forecast accuracy locations and provide suggestions on how to improve the current logics and system
• Analyze forecast inquiries from local offices and RHQ, proposing enhancements to the current logics/models
• Respond to the forecast system users' inquiries with regards to the system forecast value background

Requirements

• Bachelor's Degree in Data Science, Analytics or Mathematics
• Good knowledge of Mathematics/Statistics/Computer Science/Machine Learning
• Proficiency in staff management and related managerial techniques
• Proficiency in Python/SQL, capable of working independently or as part of a team
• Proficiency in Cloud Platform (GCP is preferred)/ Google Suite (Apps Script is a plus)/ Github/ Jira/ Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Strong problem-solving and risk analysis skill to analyse internal system data as well as the forecast system background data
• Proficiency to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow up actions
• Minimum 5 years' experience in SaaS product development preferred; shipping knowledge will be advantageous

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Job Summary:

Job Description:

· Achieve growth and meet client sales targets.

· Identify and convert new leads for the business.

· Identify further opportunities for existing clients.

· Communicate with clients.

· Manage and prepare sales support materials and samples (as necessary).

· Submit sales, income and expense reports and realistic forecasts to the management team.

· Report directly to the Head of Sales.

· Responsible for inventory management in collaboration with the production team.

Requirements:

· Friendly and enjoys dealing with people.

· Have 3-4 years of relevant experience in selling.

· Must be able to work weekends and public holidays.

Please note that only shortlisted candidates will be notified.

Purchase goods, materials, components or services in line with specified cost, quality and delivery targets

Obtain competitive quotation, ensure best products from the right source and best sources, ensure that the Company’s best interests are protected in all procurement activities.

Prepare and issue purchase orders to selected vendor or suppliers

Evaluate, negotiate and award orders to selected supplier

Ensure materials and services timely delivered to requestor

simplification.

Ensure adequate resources for all projects and to continually improve pricing and quality of supply and delivery times.

Maintain

The successful incumbent who will be part of a global data management team, will be supporting the employee life cycle events globally by leveraging system knowledge to create documentations accurately and to maintain organization data in Workday (HRIS system). In addition, the incumbent will work closely with Regional Data Management team globally.

Requirements

• Degree with min 1 year OR diploma with 5 years of HR operations/organizational management/HRIS
• Experience in using any HRIS system
• Entry level degree holders with internship experience in HR Ops/HRIS welcome to apply too
• Strong communication skills

5 days work week/Central location

This is a 1 year contract with completion bonus

Interested candidates may forward your resume to [email protected]

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.
• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.
• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.
• Implement data quality checks, data validation, and ensure accuracy in processed data.
• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.
• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.
• Programming Languages: Python, Scala
• ETL Tools: Informatica, SAS
• Database Management: Oracle, MySQL, MS SQL Server, MongoDB
• Scripting: SQL, PL/SQL
• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook
• Version Control and Build Tools: Maven, SBT, Git
• Methodologies: Agile, Scrum
• Operating Systems: Windows, Unix, Linux
• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL DataWarehouse, Azure Data Lake Storage, BLOB Storage

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Job Description

• Industry/ Organization Type: Manufacture of Electrical Equipment
• Position Title: Sales & Marketing Manager (Data Center)
• Working Location: Nearest MRT – Woodlands North/Admiralty
• Working Hours: Monday – Friday, 8.30am – 6pm
• Salary Package: Up to $8,000 + VB + Commission + Transport Allowance
• Duration: Permanent

Key Responsibilities

• Identify and cultivate new business opportunities and potential segments to drive growth.
• Develop business plans aimed at increasing market share, revenue, and achieving profit goals.
• Negotiate contracts and build strong, long-term relationships with both existing and new clients.
• Track and analyze sales and marketing performance metrics, ensuring progress aligns with targets.
• Prepare and present regular reports for management review.
• Lead and nurture the sales and marketing team, facilitating growth and development within the team.
• Perform other related tasks as required

APPLY NOW!!!

• Minimum Diploma in Business, Marketing, or Electrical Engineering or equivalent
• At least 4 years of Sales & Marketing experience, preferably within the Data Center sector
• Possession of own transport is required.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #70293 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Norman Wee | EA Reg No.: R23115114

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

We regret that only shortlisted candidates will be notified.

Role Overview

The Operations Director for AI & Big Data will lead the integration and optimization of AI and data solutions to drive efficiency and support strategic growth. This role requires hands-on experience managing large-scale data projects and implementing AI-driven solutions aligned with business goals.

Key Responsibilities

• Strategy: Develop an AI and data roadmap, identifying and prioritizing opportunities to enhance efficiency and growth.
• Implementation: Oversee the delivery and deployment of AI solutions, working with IT and data science teams to ensure scalability and compliance.
• Team Leadership: Lead and mentor a team of data professionals, fostering innovation and continuous improvement.
• Optimization: Set KPIs, monitor performance, and drive process improvements based on data insights.
• Stakeholder Engagement: Collaborate with senior leaders and cross-functional teams to align AI initiatives with business needs.
• Risk Management: Ensure AI projects adhere to industry standards, ethical guidelines, and regulatory requirements.

Qualifications

• Bachelor’s Degree in Computer science or any related course.
• 10+ years in operations, with 5+ years in AI/data projects.
• Technical Skills: Proficiency in data tools (SQL, Python) and AI frameworks (TensorFlow).
• Project Management: Strong project management skills with budget and timeline oversight.

Interested candidate please submit your CV directly via My Career Futures.

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

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

For over 170 years, Leica Microsystems has helped shape the future by developing groundbreaking optical and digital solutions. As a global leader, we’re driven by continuous improvement to excite our customers and to create the best work environment for our people. Customer focus, innovation, and teamwork are at the core of our culture and the foundation of our success.

Leica Microsystems is one of the market leaders in the fields of microscopy, imaging, and analysis. We reveal the invisible and empower our customers to create a better and healthier world. Together with our customers, we transform scientific discovery. We empower surgeons to take well-informed decisions in life-changing procedures. We enable users to gain insights which help answer key questions concerning development and engineering. All of this is achieved with the combination of cutting-edge microscopes and AI-based image analysis. Want to be part of a company whose products are part of cutting-edge research around the world? Join Leica Microsystems in our commitment for brilliant solutions and insight.

Leica Microsystems is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

We currently looking for a Business Analyst: Sales and Master Data based in Leica Instruments Singapore (LIS) Office.

Come join a fantastic team! We are seeking a highly analytical and detail-oriented Sales and Master Data Analyst to join our global team. In this role, you will be responsible for managing and analyzing sales data, maintaining master data within SAP, and leveraging tools like Power BI and Excel for reporting and insights. You will work closely with BU Medical, Service , finance, and IT teams to ensure data accuracy, consistency, and availability for strategic decision-making.

YOUR RESPONSIBILITIES

• Master Data Management: Oversee the global master data lifecycle processes, including creation, validation, and deactivation of data in SAP in alignment with the PhaseIn-PhaseOut process. Optimize data quality and reliability by applying pricelist updates and corrections in response to user requests.
• Sales Data Analysis: Collect, analyze, interpret, and visualize sales data to provide comprehensive and actionable insights on sales performance, trends, attachment rates, and more; to support global BU Medical stakeholders, including senior management.
• Cross-functional collaboration to support business requests, maintain data integrity and suggest or support process improvements in relation to MDM, lifecycle management or business analytics.

YOUR PROFILE

• Bachelor's degree in Business, Information Systems, Data Analytics, or a related field.
• 4+ years of experience in data analysis, sales operations, or master data management .
• Proficiency in SAP for master data management and advanced skills in Power BI and Excel for data analysis and reporting

WHAT WE OFFER

• Global Exposure: Be part of a dynamic, global organization where you will collaborate with cross-functional diverse teams across multiple regions, gaining experience in international business practices and developing a global perspective.

GET MORE INSIGHT

Learn more about what we do and who we are by watching our company video “We Are Leica”:

Are you interested to discover new opportunities in an innovative, team-oriented environment?

Do apply online - we are looking forward to your application!

Position description:

As a Data Analytics Manager (Finance and Equities), you will play a pivotal role within our data team, collaborating closely with product, strategy, finance and engineering teams. Your primary goal will be to maintain our finance and equities business data pipelines, derive actionable insights from extensive datasets, influencing strategic decisions and driving equities growth. You will lead key projects, lead junior data scientists, and ensure data-driven approaches are integrated into business processes.

What you will be doing:

• Manage product, strategy, finance, engineering stakeholders to drive large-scale, complex data analysis projects from conception to execution, ensuring alignment with business objectives
• Understand how our equities investment products work and is able to present to senior management business related analysis to improve the adoption and volume of our equities products
• Work with our finance team to build required pipelines that ensure monthly financial reporting needs are met
• Work with our Financial Analysis and Planning team on revenue / cost items in order to improve our unit economics of products
• Work with strategy team and the product managers to identify the key metrics we should track for our equities business and build data pipelines, frameworks and dashboards to track and improve these metrics
• Explore our large data sets to improve our understanding of how our customers engage in Pluang in order to improve our equities business
• Take charge of the monthly equities insight meeting to inform senior management of equities business performance and insights to improve the business
• Simulate impact of business decisions on promotions, pricing strategy and new products together with the strategy team to inform go or no go decisions
• Drive actions to improve our equities business with product, marketing and CRM teams based on insights from the analysis
• Design and evaluate experiments in our equities business using statistical methods
• Monitor data processes, providing the support that teams rely on to make decisions.
• Effectively communicate your work with senior management, team leads and cross-functional stakeholders on a regular basis
• Lead a team of 1-3 junior data scientists in solving our finance / equities related problems and guide their career development
• Manage the data work streams under the finance and equities umbrella

What you need to be successful for this role:

• BS in a Computer Science, Math, Statistics, Economics, Engineering, Physics or a related field within 7+ years of experience.
• Strong SQL skills. You will need to write custom queries to pull data to support your assumption and hypothesis.
• Experience with data visualization tools (Preference for Looker Data Studio).
• Experience with scripting and data analysis using Python.
• Solid understanding of statistical analysis.
• Strong sense of ownership and accountability, with good attention to detail.
• Good interpersonal skills and ability to work well in an international team environment.
• Ability to be agile and flexible in adapting in a dynamic environment.
• Interest in the investment, financial sector or web3/cryptocurrency is a plus.
• Familiarity with BigQuery and GCP would be an advantage.
• Prior experience working with / reading financial statements would be preferred
• Strong problem-solving skills with an emphasis on product effectiveness

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

Position Summary

This is a newly created senior leadership position combing two sales teams to benefit from synergies across a wider geographical area and to be more closely aligned with the APAC Sales and Account Management organizational structure. The role will be responsible for managing a team of sales specialists to achieve and beat the regional sales target. The targets span several channels from Key Strategic Accounts to the long tail of LSEG Customer Connect so the leader will need to manage various stakeholders and represent each business channel with a target-hitting plan.

The product suite includes Real Time data, infrastructure and pricing and reference services aimed at the middle and back office. The leader will need to be conversant in market data trends and able to articulate and inspire the team as to our roadmap relative to the Cloud. Other selling propositions include Machine Readable News and how this relates to AI and LLMs.

The major focus of this role is proactively winning new revenue - to both existing and new client accounts. The candidate is expected to be hands-on - personally getting involved in deals, meeting clients, network across the region and actively participate in marketing events.

The individual will be additionally responsible for the strategic and operational leadership of the business – creating and performing sales strategies, providing forecasts and business updates to internal stakeholders, as well as collaborating with other client facing, product and marketing leaders.

Role Responsibilities

• Achieve and beat the sales target for the given business line in APAC.
• Manage the sales team across the region, including hiring, onboarding, training, and sales operations.
• Create, communicate, and implement sales strategies.
• Collaborate with other sales, account management and product leaders.
• Actively contribute to client engagements and help open and close deals.
• Be the SME on the business – both the products and the addressable market

Desired skills and experience

• Experience in leading a sales team in a SaaS business addressing the financial sector
• Experience in a client facing role, with direct sales experience a strong plus
• Deep Knowledge of SaaS solutions for front office professionals
• Strong written and verbal communication skills
• Experience coordinating with various business functions to ‘own’ the growth of a business.
• Experience selling modelling/AI/Low Latency solutions a plus.
• Cross regional experience in APAC a strong plus

Responsibilities

· Develop Enterprise Web Applications: Hands-on development of ReactJS, HTML5, CSS, Bootstrap, WebPackage, Java, Spring framework, and RESTful Web services.

· Providing the Service releases and supporting their deployments across all env.

· Leadership Ability to lead technical discussions and provide guidance to the development

· Performing technology migrations to upgrade the application

· Performing performance base lining of the existing application.

· Project Management: Create, assign, and track project work plans for timely delivery while ensuring adherence to defined quality standards.

· Improvement to: Ensure process improvement and compliance in the assigned module and participate in technical discussions or reviews.

· Status Reporting: Prepare and submit status reports to minimize exposure and risks on the project and manage escalations effectively.

· Well versed with web-based applications. Strong experiences in Java/J2EE stack of technologies like Informatica, Python, Java, J2ee, Spring Boot, Spring MVC, Kafka, Kubernetes, Jenkins, Docker, (Servlet, Jsp), Struts 1.0, Struts 2.0, XML, JDBC, Junit, Python , Linux, MyQL, SQL

· Coordinates the cross-functional and/or cross-segment teams.

· Establishing effective communication on a weekly basis to provide the project updates.

· TTD Focused: Extensive experience with Cypress and React Testing Library which focuses on test driven development.

· Technical Guidance: Provide technical guidance to team members to enhance their technical capabilities and productivity.

· Process Improvement: Ensure process improvement and compliance in the assigned module and participate in technical discussions or reviews.

· Status Reporting: Prepare and submit status reports to minimize exposure and risks on the project and manage escalations effectively.

· Collaboration: Work closely with cross-functional teams, including UX/UI designers, back-end developers, and product managers to ensure seamless integration and delivery of high-quality applications.

· Involved in gathering of business requirements, interacting with business users and translation of the requirements to ETL High level and Low-level Design.

· Documented both High level and Low-level design documents, Involved in the ETL design and development of Data Model.

· Analyzed the functional specs provided by the data architect and created technical specs documents for all the mappings.

· Extensively used transformations such as aggregator, router, joiner, expression, lookup, and update strategy and sequence generator.

· Responsible for extracting data from various sources such as Oracle, SQL Server, flat files.

· Analyzed system requirements, coding the routines, developed test plans, test cases.

· Involved in Source System Analysis to understand the incoming data into Data Warehouse and their Sources.

· Worked in the performance tuning of ETL mappings and sessions.

· Wrote PL/SQL stored procedures and functions for stored procedure transformation.

· Created UNIX shell scripts for Informatica jobs.

· Involved in creating simple to complex mappings using transformations such as aggregator, Source Qualifier, Router, expression, look-up, joiner transformation.

· Worked with command line program pmcmd to interact with the server to start and stop workflow sessions, to start/stop the Informatica servers.

· Responsible for all activities related to the development, implementation, support of ETL processes for large-scale data warehouses using Power Center.

· Coordinating with Testing team (QA) for issue resolution and reviewing their test cases for ETL applications.

Essential Requirements (Skills Requirements)

· Education: Bachelor's degree in Computer science.

· Years of Experience: At-least 8-9 years of experience in development.

· Technical Skills:

o Proficiency in ReactJS, JavaScript, TypeScript, Redux, HTML5, CSS, Bootstrap, SASS, WebPackage, JS minification, NPM, Java, Spring framework, and RESTful Web services.

o Experience in Data Engineer, Data Analysis Software development, Software engineer, design, Object Oriented, web-enabled and multi-tier banking applications, financila application and solutions using Java/J2EE, Spring framework, Python, WebPackage, RESTful Web services, Linux, Informatica, Schell script technologies. Leadership Ability to lead technical discussions and provide guidance to the development

o Expertise in Development, Technical Support, Requirements Management, Risk Analysis, Project Tracking, Configuration Management, conducting reviews and Testing and IT life-cycle development process managing and SIT & UAT support and code promotion/migration to higher environments (SIT/UAT/PRD).

o Experience with Agile Methodologies: Familiarity with Agile development practices and tools like JIRA.

o Strong exposure in Unix,Linux Shell Scripting. Experience in writing SQL Programing and Consumer

o Installed and configured operating systems, software and hardware components. Managed server infrastructure and maintained security protocols

o Experience in implementation of DevOps practices, including continuous integration and delivery (CI/CD) pipelines, for faster and more efficient deployment of cloud-based solutions and containerization using technologies like Kubernetes, Dockers etc.

o Full life cycle of Software Development (SDLC) experience including Analyst and Review of Business Requirement Specifications, Design, Development and Testing, to solidify client requirements in conjunction with Software Developers.

o Highly skilled in Strategic Analysis, Design, Development, Maintenance, Testing and Implementation of Server, Relational and Dimensional Modeling, Data Marts/ Data Warehouses and Business Intelligence Technologies using Relational Database Management Systems like Oracle and SQL Server.

o Expertise in performance and tuning of Informatica mappings and sessions for better performance.

o Exposure to development, testing, debugging, implementation, documentation, and production support.

o Participated in various reviews and meetings with the Development and Business Teams.

o Develop new Module using with spring framework, Hibernate, Mysql, Informatica,Webservices

o Strong understanding of responsive design principles and mobile-first development.

· Domain Experience in the Banking and financial, wealth banking, commercial banking domain (7+ years) exposure to regulatory reporting processing and technologies across the lifecycle

Have Additional Skills

· Experience with other JavaScript frameworks, familiarity with DevOps practices, and knowledge of cloud platforms like AWS or Azure.

· Experience in implementation of DevOps practices, including continuous integration and delivery (CI/CD) pipelines, for faster and more efficient deployment of cloud-based solutions and containerization using technologies like Kubernetes, Dockers etc.

· Experience with Agile and Waterfall Methodologies: Familiarity with Agile development practices and tools like JIRA.

· Highly skilled in Strategic Analysis, Design, Development, Maintenance, Testing and Implementation of Client/Server, Relational and Dimensional Modeling, Data Marts/ Data Warehouses and Business Intelligence Technologies using Relational Database Management Systems like Oracle and SQL Server.

· Expertise in performance and tuning of Informatica mappings and sessions for better performance.

· Exposure to development, testing, debugging, implementation, documentation, and production support.

· Participated in various reviews and meetings with the Development and Business Teams.

Technical / Professional Skills

· Proficiency in ReactJS: Strong hands-on experience with ReactJS and related technologies.

· JavaScript and TypeScript: Advanced knowledge of JavaScript and TypeScript for building scalable applications.

· Experience in Data Engineer, Data Analysis Software development, Software engineer, design, Object Oriented, web-enabled and multi-tier banking applications, financial application and solutions using Java/J2EE, Spring framework, Python, WebPackage, RESTful Web services, Linux, Informatica, Schell script technologies. Leadership Ability to lead technical discussions and provide guidance to the development

· Backend Integration: Experience with Java, Spring framework, and RESTful Web services for backend integration.

· UI/UX Design: Understanding of UI/UX design principles and ability to work closely with designers.

· Well versed with web-based applications. Strong experiences in Java/J2EE stack of technologies like Informatica, Python, Java, J2ee, Spring Boot, Spring MVC, Kafka, Kubernetes, Jenkins, Docker, (Servlet, Jsp), Struts 1.0, Struts 2.0, XML, JDBC, Junit, Python , Linux, MyQL, SQL

· Extensive experience with framework Python liberary and data manupulation with Pandas Numpty.

· Full life cycle of Software Development (SDLC) experience including Analyst and Review of Business Requirement Specifications, Design, Development and Testing, to solidify client requirements in conjunction with Software Developers.

·

Non-Technical / Soft Skills

· Communication: Excellent communication skills to effectively collaborate with cross-functional teams and stakeholders.

· Team Player: Strong team player with the ability to mentor and guide junior developers.

· Problem-Solving: Strong problem-solving skills to identify and address issues in code, optimize user experiences, and troubleshoot technical challenges.

· Leadership: Ability to lead technical discussions and provide guidance to the development team.