Stripe Data Science Manager, Risk Hiring 2026 | Bengaluru

Stripe Data Science Manager, Risk hiring is active on the company's official careers system. Stripe is hiring for Data Science Manager, Risk in Bengaluru, India. The official listing focuses on statistical analysis and risk modeling in Python and R, managing credit and fraud risk data science teams, and optimizing automated financial decision engines. This guide uses the live employer listing and links directly to it.

The position is based in Bengaluru, India. Full-time employment. Candidates should compare their recent work with the verified requirements before applying.

Stripe Data Science Manager, Risk: Quick Facts

Company	Stripe
Position	Data Science Manager, Risk
Location	Bengaluru, India
Employment	Full-time employment
Published or timing note	Official listing verified active on 17 June 2026
Application deadline	No closing date is stated; apply while the official listing remains active

Salary and Employment Context

The official listing does not publish an India salary range. Candidates should rely on the written offer for base pay, variable pay, equity, benefits, payroll entity, working hours, and notice terms.

The current role is described as full-time employment. The location information is Bengaluru, India. Ask the recruiter to confirm office attendance, shift allowances, equipment, leave, and probation before accepting.

Who Can Apply?

The official listing is the eligibility source. The points below summarise the closest applicant profile without adding an unlisted degree, certification, or guarantee.

• Experience leading or managing data science or machine learning teams in a tech or fintech company.
• Strong hands-on background in statistics, risk modeling, or machine learning using Python or R.
• Experience with fraud detection, credit risk, underwriting, or financial risk management.
• Ability to define quantitative metrics, design experiments, and communicate results to executives.
• Track record of hiring, development, and mentoring of data scientists.

What Does a Data Science Manager, Risk Do?

The work is practical and outcome-focused. A strong application should show where the candidate performed similar tasks, improved reliability, or solved a measurable problem.

• Manage and grow a data science team focused on fraud prevention and merchant credit risk.
• Oversee the design and implementation of automated risk decision engines and ML models.
• Perform advanced statistical analysis to detect risk patterns and optimize policy rules.
• Collaborate with risk product, engineering, and operations teams to launch risk mitigation tools.
• Establish measurement frameworks, model validation metrics, and performance dashboards.

Skills to Highlight in the Resume

Use evidence instead of a long keyword list. Mention the system, your decision, the tool used, and the result. Keep confidential customer or employer information out.

• Data science leadership and quantitative team management.
• Python or R programming, SQL, and data analysis libraries.
• Machine learning for classification, anomaly detection, or credit scoring.
• Risk management, underwriting, or payment fraud domain expertise.

Application Fit Checklist

Before applying, compare the role with your last two years of work. A smaller number of strong matches is more useful than a resume filled with unrelated tools.

• Place the most relevant role, project, or production result in the top third of the resume.
• Quantify scale, reliability, delivery speed, customer impact, or quality improvement where evidence exists.
• State your current location and genuine availability for the listed office, remote, shift, or time-zone pattern.
• Remove skills that you cannot explain through a project, incident, design choice, or working example.
• Check that dates, titles, links, and contact details are current before submitting.

How to Apply on the Official Site

Open the official Stripe job page, read the latest description, and check that the role still accepts applications. Tailor the resume to the verified work.

• Use an email address and mobile number that you check regularly.
• Upload a concise resume with relevant projects, impact, dates, and technologies.
• Answer screening questions accurately and do not inflate years of experience.
• Save the confirmation email or application reference for later follow-up.

Do not pay for an interview, referral, offer letter, or application link. Verify recruiter messages against the employer domain and the official job page.

Preparation Before the Interview

Start with the job description, then prepare short examples that match its main responsibilities. Use a clear situation, action, and result instead of memorised answers.

• Prepare to discuss a risk or fraud detection model you managed or developed, emphasizing the impact on the business.
• Review statistical concepts like hypothesis testing, regression, and model validation metrics.
• Be ready to discuss team growth strategies, career pathing, and collaboration with product teams.

Check the role page again before the interview because status, location, and process can change. The employer decides shortlisting, assessment stages, compensation, and selection.

Frequently Asked Questions

Is the salary published?

The India listing does not publish a salary range. Confirm every compensation component in the written offer.

Where is the job based?

The official listing gives the location as Bengaluru, India.

Was the listing checked?

Yes. The official employer page was active on 17 June 2026.

Should applicants pay a fee?

No. Never pay for a private job application, interview, referral, or offer letter.

What is the official source?

The source is the official Stripe recruitment page at stripe.com. Use that page for the current status.