
at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
No clicks
**Data Scientist Senior Associate in Home Lending Data & Analytics** Leverage your analytics and experimentation expertise to drive data-driven decisions for home lending. You’ll collaborate cross-functionally to translate complex business questions into clear insights and measurable results. Key responsibilities include identifying trends, supporting marketing tests, and forecasting model lift. Must-have skills: SQL, Python (or similar), strong communication, and analytical skills. At least three years of relevant experience preferred.
- Compensation
- Not specified
- City
- Manila
- Country
- Not specified
Currency: Not specified
Full Job Description
Location: Metro Manila, National Capital Region, Philippines
Bring your expertise in analytics and experimentation to a team that uses data to improve how we connect with home lending customers. Youll partner with marketing, sales, product, and strategy stakeholders to translate complex questions into clear recommendations and measurable results. Youll help strengthen decision-making by combining business analysis with applied data science and statistics. This role offers opportunities to deepen your testing, measurement, and campaign analytics skills. If you are curious, rigorous, and outcomes-focused, this role is for you.
Job summary
As a Senior Associate Data Scientist in Home Lending Data & Analytics supporting Marketing, you deliver insights and measurement that inform home lending strategy and marketing execution. You work with stakeholders to frame problems, define success metrics, and translate analysis into decisions. You recommend and support marketing offer tests by helping ensure sound test design and statistically meaningful learnings. You enable data-driven marketing by supporting targeting, segment sizing, and incremental lift forecasting for predictive models built by a dedicated modeling team. You communicate findings clearly so teams can act and continuously improve performance.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
Turn marketing and customer data into actionable insights that improve targeting, testing, and campaign performance for home lending.




