351 Data Science Manager jobs in Malaysia

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of MoneyLion’s machine learning algorithms behind MoneyLion’s data-driven products. You will lead research initiatives and experiment with state-of-the-art AI and machine learning techniques to solve challenging business problems ranging from fraud and credit underwriting to financial recommendations and content categorization. This involves driving technological innovation across a large variety of domains while consistently delivering measurable business value and demonstrating accelerated team performance. You will extend your influence across Product, AI Engineers, MLOps, and Data Scientists to pioneer additional opportunities for applications of AI and machine learning solutions. You will establish and enforce model governance standards across AI projects, provide confidence in the integrity of the models deployed, and push the frontier of AI and machine learning in finance at MoneyLion.

• Lead the technical direction and execution of the complete AI & machine learning lifecycle, from research and development to validation, deployment, and post-production
• Envision and craft roadmap for AI & machine learning projects towards well-defined success metrics
• Ensure the delivery of AI & machine learning systems according to roadmap and with exceptional quality
• Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
• Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
• Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
• Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact

• Demonstrated experience in leading data science teams with strong focus on success metrics
• Experience owning, building, and validating machine learning systems in production
• Practical experience with deep learning, computer vision, NLP and LLM/GenAI projects
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
• Proficient in programming languages such as Python and SQL
• Strong understanding of data structures, data modeling and software architecture
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Have strong product/business orientation

After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• TA Call
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

Note: If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

Referrals increase your chances of interviewing at MoneyLion by 2x

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

WORKING LOCATION & WORKING HOUR: -

• The Ascent @ Paradigm Mall (Petaling Jaya, Selangor)
• Monday to Friday
  (regular working hours with a flexible schedule)

JOB OVERVIEW: -

The Data Science Manager is a senior leadership role responsible for overseeing and managing the organization's data warehouse infrastructure and leading the business analysis function. This position plays a crucial role in ensuring efficient data management and utilization to support data-driven decision-making, business insights, and strategic planning.

RESPONSIBILITIES: -

• Data Warehouse Management: Lead the design and development of the data warehouse architecture, including data modelling, ETL processes, and data integration strategies.
• Data Governance: Establish and enforce data governance policies and procedures to maintain data quality, security, and compliance with data regulations.
• Data Analytics Strategy: Collaborate with business stakeholders to define data analytics requirements and develop strategies for business intelligence and data-driven insights.
• Business Analysis: Oversee the business analysis function, working closely with business teams to elicit, analyze, and document business requirements for data and analytics projects.
• Team Leadership: Manage and mentor the data warehouse and business analysis teams, fostering a collaborative and high-performance work environment.
• Data Security and Privacy: Ensure data security and privacy measures are implemented to protect sensitive information and comply with data protection regulations.
• Technology Evaluation: Stay abreast of emerging data warehouse technologies and analytics tools, evaluating their potential benefits for the organization.
• Performance Optimization: Monitor and optimize data warehouse performance to ensure efficient data processing and quick access to critical business insights.
• Stakeholder Management: Collaborate with key stakeholders, including executives, department heads, and IT teams, to align data warehouse and analytics initiatives with business objectives.
• Reporting and Visualization: Drive the development of effective data visualizations and reporting tools to enhance data accessibility and decision-making.
• Budget Management: Manage the budget for data warehouse infrastructure, analytics tools, and business analysis initiatives.
• Continuous Improvement: Continuously assess and improve data warehouse and business analysis processes to enhance efficiency and effectiveness.

REQUIREMENTS: -

• Bachelor's degree in Computer Science, Information Technology, Business, or a related field. Advanced degrees and relevant certifications are advantageous.
• Proven 6 years experience in data warehouse management and business analysis, with a track record of successful data-driven projects.
• In-depth knowledge of data warehousing concepts, ETL processes, and data integration techniques.
• Strong understanding of data governance, data security, and data privacy practices.
• Expertise in business analysis methodologies and tools.
• Leadership and team management skills, with the ability to lead and inspire teams to achieve strategic goals.
• Excellent communication and interpersonal skills to collaborate effectively with stakeholders at all levels.
• Analytical mindset with the ability to translate business needs into technical solutions.
• Familiarity with data visualization tools and business intelligence platforms.
• Experience with data analytics, data mining, and statistical analysis is beneficial.

WHAT'S IN IT FOR YOU?

• Competitive salary package.
• 13th month salary.
• Medical, Dental and Optical benefits.
• Free Parking
  , fully claimable.
• Smart casual dress code
  .

Kindly be advised that due to the high number of applications we receive, only candidates who have been shortlisted will receive notifications regarding the status of their applications. We sincerely appreciate your understanding and patience as we carefully review.

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion's mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion's enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

Job Description
About the Role
The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry

As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of Moneylion's machine learning algorithms behind MoneyLion's data-driven products. You will lead research initiatives and experiment with state-of-the-art AI and machine learning techniques to solve challenging business problems ranging from fraud and credit underwriting to financial recommendations and content categorization. This involves driving technological innovation across a large variety of domains while consistently delivering measurable business value and demonstrating accelerated team performance. You will extend your influence across Product, AI Engineers, MLOps, and Data Scientists to pioneer additional opportunities for applications of AI and machine learning solutions. You will establish and enforce model governance standards across AI projects, provide confidence in the integrity of the models deployed, and push the frontier of AI and machine learning in finance at MoneyLion.

Key Responsibilities

• Lead the technical direction and execution of the complete AI & machine learning lifecycle, from research and development to validation, deployment, and post-production
• Envision and craft roadmap for AI & machine learning projects towards well-defined success metrics
• Ensure the delivery of AI & machine learning systems according to roadmap and with exceptional quality
• Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
• Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
• Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
• Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact

About You

• Demonstrated experience in leading data science teams with strong focus on success metrics
• Experience owning, building, and validating machine learning systems in production
• Practical experience with deep learning, computer vision, NLP and LLM/GenAI projects
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
• Proficient in programming languages such as Python and SQL
• Strong understanding of data structures, data modeling and software architecture
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Have strong product/business orientation

What's Next.
After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• TA Call
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

*If you've already sent in your application for this position and were not selected, please re-apply after 6 months.*

What We Value
We value
growth-minded
and
collaborative
people with high
learning agility
who embody our core values of
teamwork, customer-first
and
innovation
. Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion
At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more "other" than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Responsibilities

• Support Head, Retail Risk Modeling in relation to the respective area’s risk modeling activities.


• Assist to develop and maintain industry leading credit risk models in accordance to Basel and MFRS requirements.


• Assist to develop Asset Liability Management (ALM) behavioral model to identify the behavior of deposits and loans for application in Interest Rate Risk in the Banking Book (IRRBB)/Rate of Return Risk in the Banking Book (RORBB) and Net Stable Funding Ratio (NSFR).


• Assist to develop early warning model which predicts the likelihood of a customer moving from performing to arrears, collaborate with business in developing a customer strategy for ‘at-risk’ customers.


• Assist in preparing clear and thorough model development documentation for regulatory submission and approval.


• Prepare test script, test cases and perform User Acceptance Test to ensure model is implemented as per expected.


• Prepare model performance monitoring report for timely reporting to the management committee, the monitoring report served to provide insights to ensure correct use of model and enable critical decision making related to model recalibration or refinement.


• Socialize with business expert to gather business insights in respective area of data analytics.

• Seniority level: Entry level


• Employment type: Full-time


• Job function: Engineering and Information Technology

Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View(TM).

• Own Data Science for a specific-market/industry on new and already established products, services and design.
• Be a Data Science business partner for country / cluster leaders, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
• Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.
• Support Client and Commercial teams with Data Science design and methodological questions.
• Play a leading role in the application of data and analytics strategies in support of clients’ business needs.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
• Collaborate and align with other Data Science team units to deliver and prioritize objectives.
• Enable Data Science technology solutions on the ground and ensure solutions meets client needs.
• Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions.
• Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases.
• Enable your team to focus on innovation and contribute to the company's objectives.
• Coach and develop junior data scientists.
• Lead the team and provide performance objectives.

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 5+ years of experience in market research or relevant field
• Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market.
• Work experience on eCommerce, webscraping solutions, consumer sourced data solutions is preferred
• Soft skills qualifications:
  • Passionate about innovation and technology
  • Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.
  • Innovative mindset, creativity, thinking out-of-the-box.
  • Good ability to effectively convey complex concepts to non-experts.
  • Strong Problem-Solving skills
  • Intellectual curiosity and persistence to find answers to questions.
  • Great collaborative and interpersonal skills to communicate at all levels.
  • Ability to set priorities.
  • Good leadership skills.
  • Business acumen, consultative skills and empathy for clients.
  • Great command of written and spoken English
  • Eager to continuously learn and adapt to changing technologies and tools.
  • Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment.
• Good people management skills and coaching.
• Analytical and Technical skills:
  • Solid understanding of Statistics
  • Strong aptitude for data analysis.
  • Solid critical/ logical thinking.
  • Business acumen, finance and budgeting knowledge
  • Knowledge / familiarity on data visualization tools (e.g. Spotfire, Tableau, etc) and programming languages (Python, R), preferred.

• Exciting work environment that brings people together.
• Use the latest digital technologies.
• Ongoing trainings to support your development.
• Opportunities for personal and professional growth.
• Hybrid work

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Specific Responsibilities include

• Lead, execute, and deliver data science projects for Visa's key clients.
• Develop project scopes, methodologies, and implement solutions using appropriate tools.
• Analyze data using statistical software like Python or R.
• Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools.
• Maintain quality control and documentation for projects.
• Innovate with Visa's and client data to meet needs.
• Enhance techniques by promoting new methodologies.
• Foster thought leadership and innovation in data science.
• Manage communication with clients and stakeholders.
• Mentor and supervise data scientists in the team.
• Deliver analytics projects providing actionable insights.
• Identify opportunities for innovation using new techniques.
• Manage stakeholders effectively.
• Build visualization capabilities to address client problems.
• Identify market trends through deep analysis of payment industry information.
• Perform client-specific analysis on portfolio data.
• Manage the transfer of technical knowledge for business solution implementation.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

• 8+ or more years of relevant work experience with a Bachelor's Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, PhD)
• Extensive experience working with or on the following items:
• Advanced M/L, D/L algorithms, and Generative A.I.
• Extracting and aggregating data from large sets using SQL/Hive or Spark.
• Analyzing large datasets with Python, R, SQL, or Spark.
• Creating visual insights using software such as Tableau and Power BI.
• Communicating data-driven insights and recommendations.
• Building predictive and descriptive models with various tools.
• Performing data mining and statistical modeling.
• Prior experience in financial services is a plus.
• Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.).

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.