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At Home Data Scientist Risk Jobs (NOW HIRING)

Unchain Data

NY · On-site

$90 - $120/hr

We're looking for a Data Scientist who'll effectively assess and manage risk by developing policies ... Experience at a major financial institution, asset manager, or liquidity provider, or within a ...

Imprint

Data Scientist, Risk

New York, NY · On-site +1

$170K - $200K/yr

Role Summary The Risk team at Imprint is responsible for making smarter, faster credit decisions ... As a Data Scientist, Risk, you will own the modeling powering Imprint's top-of-funnel credit ...

Gusto, Inc.

Data Scientist, Risk

San Francisco, CA

$186K - $230K/yr

Here's what we're looking for: * 7-10 years of experience in Data Science at a product-focused software company. * Experience with Risk DS and risk modeling. * Strong SQL skills and comfort with ...

Gusto

Data Scientist, Risk

Manhattan, NY · On-site

$130 - $160/hr

Here's what we're looking for: * 7-10 years of experience in Data Science at a product-focused software company. * Experience with Risk DS and risk modeling is strongly preferred. * Strong SQL skills ...

Monograph

Data Scientist, Risk

San Francisco, CA · On-site

$186 - $230/hr

As a Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation ... If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Mudflapinc

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185 - $225/hr

Senior Data Scientist, Risk Location: Palo Alto, CA Employment Type: Full time Location Type ... About the Role At Mudflap, we're building a data‑driven decision engine that powers every facet ...

Found

Senior Data Scientist (Risk)

Manhattan, NY · On-site

$163 - $225/hr

As a Risk Data Scientist at Found, you will be a key player in our Risk team, responsible for identifying, mitigating, and managing financial and operational risks across our product offerings. You ...

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 ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

$223K - $268K/yr

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute ... The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · Hybrid

$223K - $268K/yr

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute ... The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling ...

Flexcar LLC

Risk Data Scientist

Boston, MA · On-site

Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub ... Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package Day One At Flexcar, our ...

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 ... At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone.

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At Home Data Scientist Risk information

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$37.5K

$122.7K

$196.5K

How much do at home data scientist risk jobs pay per year?

As of Aug 21, 2026, the average yearly pay for at home 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 the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

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At Home Data Scientist Risk jobs near you
Infographic showing various At Home Data Scientist Risk job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (Risk)

Unchain Data

NY • On-site

$90 - $120/hr

Other

Posted 15 days ago

Job description

About Revolut

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.

As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work. We have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. We're looking for more brilliant people who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About The Role

Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.

We're looking for a Data Scientist who’ll effectively assess and manage risk by developing policies, methodologies, models, and systems for risk quantification, reporting, and monitoring.

What You’ll Be Doing
  • Developing and maintaining methodologies and policies for liquidity and market derivative modelling
  • Delivering real impact to the product through rigorous data-driven solutions
  • Building, enhancing, and maintaining the core risk engine, including margin models, leverage frameworks, and liquidation logic
  • Developing and calibrating risk models across isolated/cross margin, partial/full liquidation, bankruptcy pricing, and future portfolio margining capabilities
  • Collaborating with Engineering to deploy risk methodologies into production systems while iteratively improving models based on market conditions
  • Automating advanced analytic workflows, including P&L attribution, daily risk reporting, short-term investment performance, and cash flow analysis
  • Preparing documentation for compliance, and presenting risk insights, exposures, and recommendations to senior leadership
Requirements
  • A degree in mathematics, statistics, financial engineering, machine learning, or computer science
  • 3+ years of experience in machine learning, financial engineering, or similar roles within liquidity or market derivatives
  • Knowledge of margin trading mechanics, derivatives pricing models, and liquidation/liquidity risk management
  • Expertise in building and validating risk and margin models (VaR, Expected Shortfall, SPAN, CCP-style IM/VM, stress tests, scenario simulations)
  • Proficiency in quantitative modelling and time-series methods (GARCH, ARIMA, stochastic calculus), with advanced Python and SQL skills for large-scale data analysis
  • Familiarity with high-frequency datasets, and the ability to work well in fast-paced risk environments
Nice to Have
  • Experience at a major financial institution, asset manager, or liquidity provider, or within a treasury or risk department (FTP, ALM, liquidity, IRRB, etc.)
  • Exposure to market-making workflows and risks (inventory management, P&L drivers, spread optimisation, and internalisation strategies)
  • Familiarity with regulatory and institutional risk frameworks (Basel III/IV, FRTB, SA-CCR, CCP margin methodologies)
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