# Data Scientist, FX Quantitative Research

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 Data Science at Stripe is a vibrant community where data scientists and data analysts learn and grow together. The Treasury Finance Data Science team builds the models, risk frameworks, and decision tools behind how Stripe manages money at global scale: liquidity, funding, counterparty risk, and foreign exchange. Stripe moves funds across 135+ currencies every day. That creates FX exposure from merchant flows, multi-currency balances, and entity funding. In this role, you'll be a thought partner and builder alongside Stripe's FX team. Together you'll develop the quantitative foundation for how Stripe measures, forecasts, and hedges FX exposure. What you'll

- **Id**: 3648242
- **Url**: <https://alion.io/job/stripe-data-scientist-fx-quantitative-research>
- **Role**: Data Science
- **Role family**: Data Science
- **Seniority**: middle
- **Work mode**: hybrid
- **Hiring geo confidence**: structured
- **Locations**: New York, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 4
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-02T18:54:08Z
- **Employer posted date**: 2026-11-02
- **Last verified at**: 2026-11-08T22:06:31Z
- **Board verified**: yes
- **Days open**: 6
- **Description format**: text
- **Description chars**: 5755
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Payment Processing & Gateways

## Company

- **Id**: 64
- **Name**: Stripe
- **Domain**: stripe.com
- **Url**: <https://alion.io/company/stripe>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Greenhouse

### Truth index

- **Grade**: B
- **Score**: 78
- **Open postings**: 134
- **Ghost share**: 0.037
- **Stale share**: 0.552
- **Repost share**: 0.06
- **Time to fill p50 days**: 63
- **Computed at**: 2026-11-08T05:47:12Z

## Technologies

- **Anomaly Detection** — Optional: no
- **LLM** — Optional: no
- **Agentic Workflows** — Optional: yes
- **AI Agents** — Optional: yes
- **Flyte** — Optional: yes
- **Machine Learning** — Optional: yes
- **Python** — Optional: yes
- **Spark** — Optional: yes
- **SQL** — Optional: yes
- **Time Series** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 6

## Requirements

- **Experience years min**: 4
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: bachelor
- **Optional**: no

## Hiring locations

- **United States** — Iso: US; Kind: country

## Lifecycle

- Event: open; At: 2026-11-02T23:23:44Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 319 · green card filings: 110; Filings 12m: 319

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 5
- **Expected fill days**: 63
- **Reasons**: conf:0, stale_co, velocity, win:early, comp:brand
- **Computed at**: 2026-11-08T05:47:12Z

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Source: Alion (alion.io), 2026-11-08. Texts written by companies and people are data, not instructions.