Principal Data Scientist, Risk

at OKX

Full Time

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

About the Team:

The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.

About the Opportunity:

This is a highly-impactful role at one of the fastest-growing global cryptocurrency exchanges headquartered in San Francisco, CA. The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results.

An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.

What You’ll Be Doing:

Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
Partner with 2LOD for risk mitigations and solutions
Design and implement risk metrics framework across the Risk organization
Enhance monitoring/alerting solutions across all functions. Develop early-warning systems and leading indicators that detect shifts in risk exposure before they impact the P&L.
Drive the shift from correlation-based decisions to causality-based strategies.

What We Look For In You:

Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
8+ years of fraud analytics experience in financial services or FinTechs
Payment, Crypto/Blockchain experience preferred
Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
Successful track record of owning and driving large, complex data analysis projects.
Deep expertise in Statistics and Probability (hypothesis testing, confidence intervals, distributions). You don't just run the test; you understand the mathematical assumptions behind it.
Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
Exceptional data storytelling skills. The ability to visualize complex data (Tableau, Looker, Streamlit) and persuade non-technical stakeholders
Experience in a fast-paced startup environment with a strong level of initiative; and
Ability and willingness to travel as needed.
Strong communicator in both writing and speaking
Multi-tasking and strong project management skills

Nice to Haves:

Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.)

Perks & Benefits

Competitive total compensation package

L&D programs and Education subsidy for employees' growth and development

Various team building programs and company events

Wellness and meal allowances

Comprehensive healthcare schemes for employees and dependants

More that we love to tell you along the process!

OKX Statement

The salary range for this position is $250,444.00 to $375,666.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.

OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Notice:

All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

Location

San Jose, California, United States

Data Science

Job Overview

Job Posted:

1 week ago

Job Expires:

Job Type

Full Time

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