# Data Science Manager, Risk

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Bengaluru, India
**Role:** Data Science
**Experience:** 10+ years
**Skills:** SQL, Python, R, Statistical Modeling, Experimentation Design, Data Science, Data Analytics, Roadmap Prioritization, Stakeholder Management, Performance Management, Career Development, Peer Reviews, Data Quality Standards, Risk Analytics, Compliance Analytics
**Posted:** 2026-08-06

> Leads distributed data science and analytics teams supporting risk workstreams while establishing data craft standards and culture in the Bengaluru office. The role requires 10+ years in data science or analytics, 3+ years managing data professionals, and strong SQL, programming, statistical modeling, and experimentation expertise.

## Job Description

## Responsibilities

- Manage and develop a high-performing, geographically distributed team of Data Scientists and Data Analysts across India and Singapore.
- Own roadmap prioritization, execution quality, and stakeholder alignment for the Verifications and Greater China workstreams.
- Drive hiring for current and future data roles in India.
- Coach, mentor, and support career development and performance management for individual contributors.
- Serve as the founding data craft leader for Stripe's India office.
- Establish quality standards, knowledge-sharing rituals, peer reviews, office hours, tooling practices, and data craft standards.
- Partner with managers and leads across the broader Data organization to align methodology, tooling, and quality expectations.
- Support onboarding and integration of new data hires in the Bengaluru office.
- Define and drive the data roadmap with product, engineering, and business stakeholders.
- Establish and raise standards for analytical rigor, experimentation frameworks, and data science practices.
- Recruit and retain data talent and build a strong local data culture.
- Collaborate with cross-functional partners and global data leaders to align priorities and share learnings.
- Communicate insights, recommendations, and team progress to senior leadership.

## Requirements

- **10+ years** of experience in data science, analytics, or a related quantitative field.
- **3+ years** of people management experience leading data scientists or analysts.
- Strong technical foundation in **SQL**, **Python or R**, statistical modeling, and experimentation design.
- Ability to translate ambiguous business problems into structured analytical frameworks and actionable insights.
- Experience managing and developing individual contributors across multiple levels, including coaching, career pathing, and performance management.
- Excellent communication and stakeholder management skills, including the ability to influence across functions and time zones.
- Proven ability to drive alignment and execution across distributed, cross-functional teams.

## Preferred Qualifications

- Advanced degree such as an **M.S. or Ph.D.** in Statistics, Economics, Computer Science, Mathematics, or a related quantitative discipline.
- Experience in payments, fintech, or financial services.
- Experience building and scaling data teams in a high-growth environment, especially establishing 0-to-1 functions or teams.
- Experience architecting team rituals, standards, hiring practices, and data craft culture from the ground up.
- Familiarity with risk, verifications, or compliance-related data domains.
- Experience operating across Asia-Pacific markets and managing multi-region teams.
- Passion for developing others and creating environments where individual contributors can do their best work.

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