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Data Scientist Risk Jobs (NOW HIRING)

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

The Sr Data Scientist, Risk will leverage analytical and modeling skills to identify fraud patterns, collaborate with stakeholders, and develop machine learning models to enhance fraud detection ...

WEX

Fraud / Credit Data Scientist, Risk Solutions

The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision ...

eNett

Fraud / Credit Data Scientist, Risk Solutions

The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

$223K - $268K/yr

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 ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · Hybrid

$223K - $268K/yr

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 ...

Flexcar LLC

Risk Data Scientist

Boston, MA · On-site

Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package ...

Flexcar

Risk Data Scientist

Boston, MA · On-site

$112 - $155/hr

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time - 5 days in office - 50 hours Compensation: $112,000 - $155,000 + Full Benefit Package Day One * This position is ...

Flexcar

Risk Data Scientist

Boston, MA · On-site

Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package ...

LexisNexis Risk Solutions

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we ... We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine ...

Lexisnexis Risk Solutions

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Our insurance risk solutions help drive better data-driven decisions across the insurance policy ...

Neara

Principal Research Scientist - Risk

New York, NY · On-site

$180K - $220K/yr

Neara provides network-scale structural, loading, and contextual data across complete overhead electrical systems. As the Principal Research Scientist - Risk, you will use this information to build ...

Analygence

Data Scientist

Arlington, VA · On-site

Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading ... Design, build, and sustain analytical models that support COA analysis, risk prioritization ...

Elder Research

Data Scientist

Arlington, VA · On-site

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

Elder Research

Data Scientist

Arlington, VA · On-site

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

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Data Scientist Risk information

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$37.5K

$122.7K

$196.5K

How much do data scientist risk jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data scientist risk in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist risk?

A Data Scientist Risk job involves using data analysis, machine learning, and statistical modeling to assess and mitigate financial, credit, or operational risks. These professionals work with large datasets to identify patterns, detect anomalies, and build predictive models that help organizations make informed decisions. They collaborate with risk management teams and stakeholders to develop strategies for minimizing potential losses while ensuring regulatory compliance. Strong analytical skills, proficiency in programming languages like Python or R, and knowledge of risk modeling techniques are essential for this role.

What types of projects or problems does a data scientist risk typically work on?

Data Scientist Risk professionals typically work on projects involving risk assessment, fraud detection, credit scoring, market risk analysis, and regulatory compliance. Their day-to-day responsibilities often include analyzing large datasets to identify patterns, building predictive models, and presenting insights to risk managers or executives to support risk mitigation strategies. You'll often collaborate with cross-functional teams including finance, IT, and compliance to develop innovative risk solutions and improve organizational decision-making. The work environment is dynamic and intellectually challenging, offering opportunities to continuously learn and make an impact in critical business areas.

What are the key skills and qualifications needed to thrive as a data scientist risk?

To excel as a Data Scientist Risk, you need strong analytical skills, advanced knowledge of statistics, programming (typically in Python or R), and a relevant degree such as mathematics, finance, or data science. Familiarity with machine learning libraries, data visualization tools, and risk modeling software like SAS or SQL is commonly required, and certifications such as FRM or CFA are advantageous. Excellent problem-solving, critical thinking, and clear communication abilities are vital for interpreting complex data and presenting actionable insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting decision-making, and ensuring regulatory compliance in fast-paced business environments.

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Data Scientist Risk jobs near you
Infographic showing various Data Scientist Risk job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr Data Scientist, Risk Strategy

OKX

San Jose, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
OKX is a leading crypto exchange, providing access to crypto trading and decentralized applications. The Sr Data Scientist, Risk will leverage analytical and modeling skills to identify fraud patterns, collaborate with stakeholders, and develop machine learning models to enhance fraud detection efforts.
Responsibilities:
• 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.
• Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
• Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
• Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations.
• Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
• Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
• Development of machine learning models
• Partner with product and engineering team in implementing features and models, and enhancing systems
Qualifications:
Required:
• 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.
• 4+ years of fraud analytics experience in financial services or FinTechs
• Crypto/Blockchain experience
• Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc.
• Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.)
• Successful track record of owning and driving large, complex data analysis projects.
• Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
• Experience in a fast-paced startup environment with a strong level of initiative
• Ability and willingness to travel as needed.
• Strong communicator in both writing and speaking
• Multi-tasking and strong project management skills
Preferred:
• Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.)
Company:
OKX is a global digital-asset platform offering crypto trading, investment products, and Web3 services for retail and institutional users. Founded in 2013, the company is headquartered in Mahé, SYC, with a team of 1001-5000 employees. The company is currently Late Stage.

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