Data Science Manager, Risk
Stripe · Posted Oct 7
Online payment processing, billing, and financial infrastructure services
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About the role
Stripe is a financial infrastructure platform, and its Data Science and Analytics organization partners with teams across the company to drive rigorous, data-informed decision-making at scale. Within that org, the Verifications and Greater China data teams deliver analytical and data science work spanning identity verification, risk modeling, and market-specific growth insights. This founding Data Science Manager role based in Bengaluru will build and lead the regional data team, own roadmap and execution for both workstreams, and serve as the founding data craft leader for Stripe's India office.
What you will do
- Manage a team of Data Scientists and Data Analysts (currently 4 individual contributors across India and Singapore) spanning the Verifications and Greater China workstreams.
- Own roadmap prioritization, execution quality, and stakeholder alignment for both workstreams.
- Drive hiring for open and future roles in India, building a high-caliber data team in a competitive talent market.
- Foster individual contributor growth through real-time coaching, mentorship, career development, and performance management.
- Serve as the founding data craft leader for Stripe's India office. Set quality standards, establish community rituals (knowledge sharing, peer reviews, office hours), and cultivate a strong local data culture.
- Act as the go-to point of contact for data craft standards, tooling, and best practices for co-located analysts, even those outside your direct reporting line.
- Partner with managers and leads across the broader Data org to ensure consistency in methodology, tooling, and quality bar.
- Support onboarding and integration of new data hires in the Bengaluru office.
- Over time, this role has the potential to evolve into a Center of Excellence (COE) model—becoming the single point of data leadership in India across multiple product pillars (e.g., Payments, Growth, Marketing), not just Risk.
- Build, manage, and develop a high-performing, geographically distributed data team.
- Define and drive the data roadmap in close partnership with product, engineering, and business stakeholders—ensuring analytical work is tightly coupled to business outcomes.
- Establish and raise the bar on analytical rigor, experimentation frameworks, and data science best practices across the team.
- Recruit and retain skilled data talent, crafting a compelling hiring narrative anchored in local leadership and craft excellence.
- Champion a culture of technical excellence, intellectual curiosity, and operational discipline.
- Collaborate with cross-functional partners and other data leaders globally to align priorities, share learnings, and maintain org-wide consistency.
- Communicate insights, recommendations, and team progress clearly to senior leadership.
Skills used in this role
What the employer is looking for
- 10+ years of experience in data science, analytics, or a related quantitative field, with 3+ years in a people management role leading data scientists or analysts
- Strong technical foundation in SQL, Python or R, statistical modeling, and experimentation design
- Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and actionable insights
- Experience managing and developing individual contributor talent across multiple levels, including coaching, career pathing, and performance management
- Excellent communication and stakeholder management skills—able to influence without authority across functions and time zones along with proven ability to drive alignment and execution across distributed, cross-functional teams
Preferred qualifications
- Advanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Economics, Computer Science, Mathematics, or a related field
- Experience working in the payments, fintech, or financial services industry
- Prior experience building and scaling data teams in a high-growth environment—particularly standing up 0 → 1 functions or teams
- Track record of being a builder who has personally architected the rituals, standards, hiring bar, and craft culture for a data team from the ground up
- Familiarity with risk, verifications, or compliance-related data domains
- Experience operating across Asia-Pacific markets and navigating the nuances of multi-region team management
- Passion for developing others and creating environments where individual contributors do the best work of their careers
Benefits and support
- Compensation and benefits are detailed in the job posting
About Stripe
Stripe is a technology company that builds economic infrastructure for the internet, providing payment processing and financial services software for businesses of all sizes. Millions of companies use its suite of products to accept online and in-person payments, manage revenue, and run operations globally.
- Industry
- Payments
- Company size
- 10001+ employees
- Founded
- 2010
- Location
- South San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $9.81B raised
- 2023-03-26Series I$6.5B
- 2023-04-01Grant$11.1M
- 2024-04-08Secondary Market$694M
Leadership
Co-Founder and CEO
Co-Founder and President
Chief Financial Officer
Chief Technology Officer
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