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Internship Data Scientist Risk Jobs (NOW HIRING)

Unchain Data

NY · On-site

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 ...

Gusto, Inc.

Data Scientist, Risk

San Francisco, CA · On-site +1

$186K - $230K/yr

As a Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the ...

Gusto, Inc.

Data Scientist, Risk

San Francisco, CA · On-site

$186K - $230K/yr

As a Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the ...

Imprint

Data Scientist, Risk

New York, NY · On-site +1

$170K - $200K/yr

As a Data Scientist, Risk, you will own the modeling powering Imprint's top-of-funnel credit decisioning-from application intake through approval-across every acquisition channel: direct affiliates ...

Mudflapinc

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

Senior Data Scientist, Risk Location: Palo Alto, CA Employment Type: Full time Location Type: Hybrid Department: Data Compensation: $185K - $225K Mudflap serves the $800B trucking industry, the ...

Mudflap

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$220K - $245K/yr

As a Senior Data Scientist, Risk , you will develop the models, insights, and strategies that help us identify, assess, and mitigate credit and fraud risk across our platform. You'll lead the ...

Mudflap

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

We're looking for a versatile Senior Data Scientist, Risk to join our high-impact team. In this role, you will develop the models, insights, and strategies that help us identify, assess, and mitigate ...

Turo

Senior Data Scientist, Risk

San Francisco, CA · Hybrid

$156K - $195K/yr

Operate at the nexus of Data Science and Risk strategy. You will work cross-functionally with Data Analytics, Trust & Safety, and Product teams to develop frameworks driving key product and modeling ...

Turo

Senior Data Scientist, Risk

San Francisco, CA · On-site

$156K - $195K/yr

Operate at the nexus of Data Science and Risk strategy. You will work cross-functionally with Data Analytics, Trust & Safety, and Product teams to develop frameworks driving key product and modeling ...

Turo Inc.

Senior Data Scientist, Risk

San Francisco, CA · On-site

$156K - $195K/yr

Operate at the nexus of Data Science and Risk strategy. * You will work cross-functionally with Data Analytics, Trust & Safety, and Product teams to develop frameworks driving key product and ...

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 ...

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 ...

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Internship Data Scientist Risk information

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$165K

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How much do internship data scientist risk jobs pay per year?

As of Sep 12, 2026, the average yearly pay for internship data scientist risk in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an internship data scientist risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What types of projects can an internship data scientist risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.

What are the key skills and qualifications needed to thrive as an internship data scientist risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

How much does an internship data scientist risk earn?

An internship data scientist risk typically earns between $15 and $25 per hour, depending on the company, location, and level of education. Internships often provide valuable experience in data analysis, programming, and risk assessment tools like Python or R. Compensation varies based on industry and whether the internship is paid or unpaid.

What cities are hiring for Internship Data Scientist Risk jobs?

Cities with the most Internship Data Scientist Risk job openings:

What are the most commonly searched types of Data Scientist Risk jobs?

The most popular types of Data Scientist Risk jobs are:

What states have the most Internship Data Scientist Risk jobs?

States with the most job openings for Internship Data Scientist Risk jobs include:

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For Internship Data Scientist Risk jobs, the most frequently searched job titles are:

Internship Data Scientist Risk jobs near you
Infographic showing various Internship Data Scientist Risk job openings in the United States as of June 2026, with employment types broken down into 52% Full Time, 39% Part Time, and 9% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist (Risk)

NY • On-site

Unchain Data
See more jobs at Unchain Dataexternal

Other

Re-posted 7 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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