Data Scientist - Portfolio Management

Responsibilities

The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.

• Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability.
• Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
• Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
• Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
• Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
• Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
• Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
• Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
• Mentoring and coaching junior analysts and data scientists on the team.
• Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
• Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
• Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
• Utilize statistical and machine learning techniques to identify patterns and trends in financial data
• Develop and implement data-driven investment strategies that optimize portfolio performance

Requirements

• Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
• 3 to 5 years of professional working experience in applying statistical and ML solutions to business problems
• Strong knowledge and hands-on experience on machine learning, or statistics and experimentation
• Results oriented with strong analytical and problem solving skills
• Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
• The ability to communicate results clearly to technical and non-technical audiences
• Demonstrated ability to research and innovate solutions to solve business problems
• Experience in bank related products such as unsecured personal loans and credit card is preferred

What we offer

• Competitive compensation package, including 13th-month salary and performance bonuses
• Comprehensive health care coverage for you and your dependents
• Generous leave policies, including annual leave, sick leave, and flexible work hours
• Convenient central district 1 office location, next to a future metro station
• Onsite lunch with multiple options, including vegetarian
• Grab for work allowance and fully equipped workstations
• Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
• Unlimited free coffee, tea, snacks, and fruit to keep you energized
• An opportunity to make a social impact by helping to democratize credit access in emerging markets.