Data Science Manager, Risk

Role overview

Data Science Manager, Risk at Stripe

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.</p>

<p>We're looking for someone who meets the minimum requirements to be considered for the role.

Responsibilities

• Drive hiring for open and future roles in India, building a high-caliber data team in a competitive talent market.</p>
• Support onboarding and integration of new data hires in the Bengaluru office.</p>
• Collaborate with cross-functional partners and other data leaders globally to align priorities, share learnings, and maintain org-wide consistency.</p>

Employment details

• Location: Bengaluru

Application details

• If you meet these requirements, you are encouraged to apply.

About the employer

• <h3>About Stripe</h3>
• Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
• Within this org, the Verifications and Greater China data teams deliver critical analytical and data science work—from identity verification and risk modeling to market-specific growth insights—that directly shapes Stripe's ability to serve users safely and expand into new markets.</p>

Additional role details

• <h2>Who we are</h2>
• <p>Stripe is a financial infrastructure platform for businesses.
• Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
• That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p>
• <h3>About the team</h3>
• <p>The Data Science and Analytics organization at Stripe partners with teams across the company to drive rigorous, data-informed decision-making at scale.
• <p>Today, the team comprises individual contributors distributed across Singapore and India, supporting two high-impact pillars.
• We're looking for a founding Data Science Manager based in Bengaluru to build and lead this growing regional footprint from the ground up.</p>
• <h2>What you'll do</h2>
• <p>This is a rare 0 → 1 leadership role with a dual mandate.</p>
• <p>Pillar 1—Direct Team Leadership</p>
• <p>
• Manage a team of Data Scientists and Data Analysts (currently 4 individual contributors across India and Singapore) spanning the Verifications and Greater China workstreams.</p>
• Own roadmap prioritization, execution quality, and stakeholder alignment for both workstreams.</p>
• Foster individual contributor growth through real-time coaching, mentorship, career development, and performance management.</p>
• <p>Pillar 2—Regional Data Craft Lead (India Office)</p>
• 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.</p>
• 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.</p>
• Partner with managers and leads across the broader Data org to ensure consistency in methodology, tooling, and quality bar.</p>
• <h3>Responsibilities</h3>
• Build, manage, and develop a high-performing, geographically distributed data team.</p>
• Define and drive the data roadmap in close partnership with product, engineering, and business stakeholders—ensuring analytical work is tightly coupled to business outcomes.</p>
• Establish and raise the bar on analytical rigor, experimentation frameworks, and data science best practices across the team.</p>
• Recruit and retain skilled data talent, crafting a compelling hiring narrative anchored in local leadership and craft excellence.</p>
• Champion a culture of technical excellence, intellectual curiosity, and operational discipline.</p>
• Communicate insights, recommendations, and team progress clearly to senior leadership.</p>
• <h2>Who you are</h2>
• The preferred qualifications are a bonus, not a requirement.</p>
• <h3>Minimum requirements</h3>
• 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</p>
• Strong technical foundation in SQL, Python or R, statistical modeling, and experimentation design</p>
• Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and actionable insights</p>
• Experience managing and developing individual contributor talent across multiple levels, including coaching, career pathing, and performance management</p>
• 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</p>
• <p> </p>
• <h3>Preferred qualifications</h3>
• Advanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Economics, Computer Science, Mathematics, or a related field</p>
• Experience working in the payments, fintech, or financial services industry</p>
• Prior experience building and scaling data teams in a high-growth environment—particularly standing up 0 → 1 functions or teams</p>
• 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</p>
• Familiarity with risk, verifications, or compliance-related data domains</p>
• Experience operating across Asia-Pacific markets and navigating the nuances of multi-region team management</p>
• Passion for developing others and creating environments where individual contributors do the best work of their careers</p>