Data Science Manager, Risk

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse Stripe to accept payments grow their revenue and accelerate new business opportunities. 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 everyones reach while doing the most important work of your career.

About the team

The Data Science and Analytics organization at Stripe partners with teams across the company to drive rigorous data-informed decision-making at scale. Within this org the Verifications and Greater China data teams deliver critical analytical and data science workfrom identity verification and risk modeling to market-specific growth insightsthat directly shapes Stripes ability to serve users safely and expand into new markets.

Today the team comprises individual contributors distributed across Singapore and India supporting two high-impact pillars. Were looking for a founding Data Science Manager based in Bengaluru to build and lead this growing regional footprint from the ground up.

What youll do

This is a rare 0 1 leadership role with a dual mandate.

Pillar 1Direct Team Leadership

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.

Pillar 2Regional Data Craft Lead (India Office)

Serve as the founding data craft leader for Stripes 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) modelbecoming the single point of data leadership in India across multiple product pillars (e.g. Payments Growth Marketing) not just Risk.

Responsibilities

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 stakeholdersensuring 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.

Who you are

Were looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements you are encouraged to apply. The preferred qualifications are a bonus not a requirement.

Minimum requirements

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 skillsable 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 environmentparticularly 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