73 Feature Engineering jobs in Kuala Lumpur

Overview

Manager, Data Analysis (Malaysia, India)

Responsible for managing data analysis controls and operational risk processes related to the Client List Derivation. Focus on executing and updating controls, conducting root cause analysis, and communicating findings to stakeholders.

• Execute and update the Key Control Indicator (KCI) / Control Sample Testing (CST) for the Client List Derivation process to minimise potential failures arising from operational risk events; perform root cause analysis on issues identified and communicate to the relevant process owners.
• Assist in designing and updating KCIs / CSTs to ensure potential failure points are adequately mitigated.
• Coordinate, drive, and direct effective operational risk management for the automated Client List Derivation process.
• Perform root cause analysis on issues and ensure timely communication to the respective process owner.
• Implement and monitor KCI / CST processes, sampling, testing, and recording of related activities; monitor Key Risk Indicators (KRIs).
• Enhance automated KCIs to remain effective and aligned with framework requirements; maintain proper records of KCI / CST activities.
• Identify, assess, mitigate, report, and escalate operational risk exposures; support the team in minimizing risk-related failures and investigate material issues to prevent recurrence.
• Identify new potential failure points and implement appropriate controls; coordinate exceptions and track risk issue resolutions.
• Identify weaknesses in control standards and ensure effectiveness of controls; assist with internal/external audits and provide timely information to stakeholders.
• Prepare risk-related metrics including trend analysis and dashboards.

• 7+ years of banking/financial services experience
• University degree (preferred)
• Strong understanding of operational risk management within a banking environment
• Excellent analytical and problem-solving skills
• Strong background in customer due diligence (CDD) policies and procedures
• Team player with excellent communication, interpersonal and stakeholder management skills
• Practical, pragmatic, and capable of challenging the status quo
• Ability to work in a fast-paced environment and operate independently
• Advanced Excel skills and ability to automate functions
• Good English writing skills

• Action Oriented
• Collaborates
• Customer Focus
• Gives Clarity & Guidance
• Manages Ambiguity
• Develops Talent
• Drives Vision & Purpose
• Nimble Learning
• Decision Quality
• Courage
• Instills Trust
• Strategic Mindset
• Technical Competencies: role-specific technical skills

We’re an international bank, committed to responsible growth and making a positive difference for clients and communities. We value diversity and inclusion and seek individuals who bring unique talents to our teams.

• Competitive salary and benefits in line with our Fair Pay Charter
• Retirement savings, medical and life insurance with flexible benefits
• Generous time-off (annual leave, parental leave, sabbatical, volunteering leave) plus global public holidays
• Flexible working options based on location and role
• Wellbeing support, development courses, and Employee Assistance Programmes
• Learning culture with opportunities to reskill and upskill
• Inclusive, values-driven environment

• Mid-Senior level

• Full-time

• Information Technology
• Industries: Banking

Associate, Integrated Operations (Data Analysis) — Lazada, Kuala Lumpur, Malaysia

The Integrated Operations Team is responsible for the strategic planning, execution, and continuous improvement of our core seller programs. Additionally, the team holds ownership of the commercial team’s quarterly target setting and performance management processes, while also administering incentive computations for the commercial team. Furthermore, the team operates the Commercial Academy—a dedicated initiative that designs and deploys soft- and hard-skill training programs to enhance workforce capabilities.

• Analyze and enhance business strategies using data, optimizing resources across various teams, like sales operations, seller programmes.
• Lead our commercial target-setting process to guide business growth effectively, Create and maintain dashboards to keep track of key performance indicators.
• Work with Business Intelligence and Data Product teams to ensure our data is accurate and actionable for key stakeholders.
• Spot trends and opportunities in seller program design for improvements and maintain strong governance of financial viability.
• Monitor seller performance and provide insights to refine seller programs and optimise KAM incentive distributions according the efficient seller target setting process.
• Conduct targeted analyses to solve unique business challenges, offering data-driven solutions. Provide strategic insights to leadership on sales operations, including incentives and profitability models.
• Collaborate with Seller Engagement and Sales Operations teams to manage seller communications and inquiries.

• Bachelor’s Degree in Business Management or related field.
• At least 3-4 years of experience in Data Analytics, Business Intelligence, or commercial operations (e-commerce, consulting, or retail).
• Strong communication and interpersonal skills; you thrive in teamwork settings.
• Quick learner who adapts well to changing environments and priorities.
• Solid analytical abilities, especially with Excel; familiarity with data tools such as SQL is a plus but not mandatory.
• Organized, detail-oriented, and self-motivated. Project management experience is a bonus.

• Associate

• Full-time

• Analyst, General Business, and Strategy/Planning

• Internet Marketplace Platforms and Consumer Services

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.

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!

We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.

Key Responsibilities

• Able to frame and contextualize machine learning problems
• Research, build and design machine learning systems and models that can solve business problems
• Assess, understand and analyse data to select appropriate datasets for data modelling and testing
• Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products
• Design, execute and monitor machine learning model experiments and metrics
• Perform statistical analysis to evaluate and prove business impact of modelling improvements
• Automate, architect and orchestrate machine learning processes and pipelines
• Monitor, optimise and maintain machine learning solutions in production
• Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion
• Work with MLOps Engineers and Data Scientists to improve systems designs and architectures
• Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems
• Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle

About You

• Strong mathematical, statistical or actuarial background
• Good programming knowledge and software engineering skills
• Must have hands on experience in machine learning, predictive analytics and statistical modelling
• Experience developing and deploying machine learning models in production.
• Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints
• Proficient in Python and SQL
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM
• Preferably have experience in building machine learning systems and workflows
• Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML
• Preferably familiar and have experience with AWS, Docker, Kubernetes.
• Solid communication and collaboration skills.

What's Next.

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

• Online Technical Test
• 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 reapply after 6 months.*

We valuegrowth-minded andcollaborative people with highlearning agility who embody our core values ofteamwork, customer-first andinnovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

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.

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

• Competitive salary packages and bonuses

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer role at MoneyLion

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.

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!

We are looking for a Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.

Key Responsibilities

• Able to frame and contextualize machine learning problems
• Research, build and design machine learning systems and models that can solve business problems
• Assess, understand and analyse data to select appropriate datasets for data modelling and testing
• Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products
• Design, execute and monitor machine learning model experiments and metrics
• Perform statistical analysis to evaluate and prove business impact of modelling improvements
• Automate, architect and orchestrate machine learning processes and pipelines
• Monitor, optimise and maintain machine learning solutions in production
• Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion
• Work with MLOps Engineers and Data Scientists to improve systems designs and architectures
• Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems
• Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle
  
  

• Strong mathematical, statistical or actuarial background
• Good programming knowledge and software engineering skills
• Must have hands on experience in machine learning, predictive analytics and statistical modelling
• Experience developing and deploying machine learning models in production.
• Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints
• Proficient in Python and SQL
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM
• Preferably have experience in building machine learning systems and workflows
• Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML
• Preferably familiar and have experience with AWS, Docker, Kubernetes.
• Solid communication and collaboration skills.
  
  

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

• 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
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

iSoftStone Federal Territory of Kuala Lumpur, Malaysia

iSoftStone Federal Territory of Kuala Lumpur, Malaysia

About Us:

A leading global technology group , renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, mobile gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.

• Oversee the full lifecycle of knowledge systems – design, develop, iteratively optimize, and maintain knowledge architectures to ensure accuracy, efficiency, and scalability in knowledge flow and application.
• Build and maintain data mining platforms – lead platform development to guarantee stable operation; provide technical development and support for online campaigns, ensuring seamless execution and user experience.
• Develop algorithms and train AI models – design and implement high-performance algorithms for data processing to streamline workflows; participate in AI model training, tuning, and optimization to enhance performance and alignment with business objectives.

• Solid Python/C++ development experience, familiar with multi-threaded programming, memory management, design patterns and Linux development environment, strong understanding of Python/C++ syntax features, and experience in high concurrency program development.
• Familiar with machine/deep learning theory and experience in training deep learning models.
• Familiar with common algorithms in CV/NLP/Recommendation/SNS is preferred.
• Familiar with crawler technology.
• Understanding of the internal implementation principles of TensorFlow/PyTorch is preferred.
• Experience in distributed systems, design capability and debugging ability of complex system software is preferred.
• Excellent communication skills in both English and Chinese (Mandarin).

• Associate

• Contract

• Information Technology

• IT Services and IT Consulting, IT System Custom Software Development, and IT System Design Services

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.

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!

We are looking for a Machine Learning Scientist to help shape the future of our organization’s technological advancements and push the boundaries of what is possible with machine learning in our industry. This position is designed for a passionate individual with a deep interest in machine learning, AI and data driven solutions.

As a Machine Learning Scientist in MoneyLion, you will be at the forefront of driving innovation and efficiency across the organization. In this role, you will act as the bridge to close the gap between complex machine learning technologies and practical business applications. You will be pivotal in identifying, developing and implementing machine learning strategies, translating them into tangible solutions that have a direct impact on our business operations and strategic goals. You will be expected to keep up with the latest developments in AI and machine learning, ensuring that the business stays ahead of the curve in leveraging these technologies.

Key Responsibilities

• Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization
• Develop and experiment with innovative machine learning models and algorithms to solve complex problems
• Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools
• Communicate complex ideas effectively and translate technical solutions into business strategies
• Monitor and optimize existing algorithms for improved performance and efficiency
• Evaluate the effectiveness of machine learning models offline and online with well-defined metrics
• Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services
• Stay at the forefront of technological advancements in machine learning and AI
• Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders

About You

• Strong mathematical, statistical or related quantitative skills
• Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development
• Demonstrated ability to adapt new technologies and learn quickly
• Strong analytical and problem solving skills, along with creativity and curiosity
• Proficient in programming languages such as Python and SQL
• Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM
• Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems
• Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders
• Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow
• Preferably familiar with developing and deploying machine learning models in production
• Commitment to continuous learning and staying informed about the latest industry trends

What's Next.

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

• Online Technical Test
• 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 werenot selected, please re-apply after 6 months.*

We valuegrowth-minded andcollaborative people with highlearning agility who embody our core values ofteamwork, customer-first andinnovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

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.

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

• Competitive salary packages and bonuses

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia — We are hiring for a Machine Learning Scientist role at MoneyLion . The Kuala Lumpur office is the technology powerhouse and leads innovative initiatives in fintech.

We are looking for a Machine Learning Scientist to help shape the future of MoneyLion’s technology and push the boundaries of what is possible with machine learning in the financial-services industry. This role is designed for a passionate individual with a deep interest in machine learning, AI and data-driven solutions.

• Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization
• Develop and experiment with innovative machine learning models and algorithms to solve complex problems
• Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools
• Communicate complex ideas effectively and translate technical solutions into business strategies
• Monitor and optimize existing algorithms for improved performance and efficiency
• Evaluate the effectiveness of machine learning models offline and online with well-defined metrics
• Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services
• Stay at the forefront of technological advancements in machine learning and AI
• Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders

• Strong mathematical, statistical or related quantitative skills
• Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development
• Demonstrated ability to adapt new technologies and learn quickly
• Strong analytical and problem solving skills, along with creativity and curiosity
• Proficient in programming languages such as Python and SQL
• Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM
• Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems
• Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders
• Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow
• Preferably familiar with developing and deploying machine learning models in production
• Commitment to continuous learning and staying informed about the latest industry trends

What happens after you submit your application:

• Online Technical Test
• 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.

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.

• Entry level

• Full-time

• Other