# Data Scientist (Risk) at Revolut

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> Responsibilities: - Develop and maintain methodologies, poli

- **Company:** Revolut (https://jobs.trythestack.co/companies/revolut)
- **Location:** Porto, PT, Portugal
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, machine learning, statistics, financial engineering, risk modelling, VaR, Expected Shortfall, SPAN, GARCH, ARIMA, derivatives pricing
- **Posted by employer:** 2026-11-03
- **Added to The Stack:** 2026-11-04
- **Listed until:** 2027-01-02
- **Status:** Active
- **Apply:** https://www.revolut.com/careers/position/46917c00-41ca-4c82-be38-00894cc2c136 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-risk-revolut

## About the role

Responsibilities:
- Develop and maintain methodologies, policies and models for liquidity and market derivatives risk (margin, leverage, liquidation logic).
- Build, calibrate and validate risk models: VaR, Expected Shortfall, SPAN/IM/VM-style calculations, stress tests and scenario simulations.
- Operate and enhance the core risk engine (margin models, liquidation, bankruptcy pricing) and automate analytic workflows (P&L attribution, daily risk reporting).
- Collaborate with Engineering to deploy models to production and iterate on model performance with changing market conditions.
- Prepare compliance documentation and present risk exposures and recommendations to senior leadership.

Requirements:
- Degree in mathematics, statistics, financial engineering, machine learning or computer science.
- 3+ years of experience in machine learning, financial engineering or roles focused on liquidity/market derivatives risk.
- Strong knowledge of margin trading mechanics, derivatives pricing and liquidation/liquidity risk management.
- Hands-on experience building and validating quantitative risk models and time-series methods (GARCH, ARIMA); familiarity with stochastic calculus.
- Advanced Python and SQL skills for large-scale data analysis; experience with high-frequency/market data and production deployment of models.

## Responsibilities

Develop and maintain methodologies and policies for liquidity and margin modelling. Build, calibrate, and deploy risk models across margin, liquidity, and liquidation scenarios. Automate analytic workflows and present risk insights to senior leadership.

## Requirements

Degree in mathematics, statistics, financial engineering, machine learning, or computer science; 3+ years in ML, financial engineering, or similar roles; knowledge of margin trading, derivatives pricing, and liquidation/liquidity risk management; advanced Python and SQL; familiarity with high-frequency data.

## FAQ

- **Is this Data Scientist (Risk) role still open?** It was posted on 2026-11-03 and is listed as active on The Stack. Confirm on Revolut's application page before applying.
- **Does Revolut offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Revolut's site.
- **Where is this role located?** The listing gives the location as Porto, PT, Portugal. It is marked remote.
- **What skills does this role ask for?** The listing names: Python, SQL, machine learning, statistics, financial engineering, risk modelling, VaR, Expected Shortfall, SPAN, GARCH, ARIMA, derivatives pricing.

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## Notes for agents

- Apply on the employer's page (https://www.revolut.com/careers/position/46917c00-41ca-4c82-be38-00894cc2c136). The Stack does not take applications.
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- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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