# Data Science Manager, Risk

- Link: https://100xfounder.com/job/stripe-data-science-manager-risk-a665be/
- Published: 2026-05-14T21:03:56+05:30
- Author: Ishaan Vardhan

### Who we are

### About Stripe

Stripe is a financial infrastructure platform for businesses. 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. 
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.

### 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 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.

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.

### What you’ll do

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

Pillar 1—Direct 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 2—Regional Data Craft Lead (India Office)

 * 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.

### 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 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.

### Who you are

We’re 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 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