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On Call Data Scientist Risk Jobs (NOW HIRING)

Planet Technologies

Data Scientist

Washington, DC · On-site

Improves methodologies and tools for risk assessment. * Researches and recommends business data ... Incorporates data science tools (SQL, R, Python, etc.) into services. Qualifications: * Strong ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

... risk, and develop courses of action. Employ expert judgment, adaptable met hodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

D&G Support Services, LLC

Data Scientist

NE

This role enables campaign, risk, operations, and Joint Force assessments by integrating disparate data sources, applying predictive and statistical modeling, and producing high‑quality analytic ...

Central Health

Principal Data Scientist

Austin, TX · On-site

AI Governance & Risk Advisory • Partner with the Sr. Director of AI & Digital Innovation to provide expert data science input into the organization's AI governance processes, policies, and ...

New

Central Health

Principal Data Scientist

Austin, TX · Hybrid

Build and operationalize risk stratification models to identify high-risk patients and populations ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

Build and operationalize risk stratification models to identify high-risk patients and populations ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... risk and spend efficiency on the facility's transmission system. This assignment will analyze ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... risk and spend efficiency on the facility's transmission system. This assignment will analyze ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

Sidram Technologies

Data Scientist

Seattle, WA · On-site

Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing ... hands-on Data Science experience with a strong foundation in classical ML * Proficiency in ...

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On Call Data Scientist Risk information

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How much do on call data scientist risk jobs pay per year?

As of Jul 13, 2026, the average yearly pay for on call 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 are the most commonly searched types of Data Scientist Risk jobs? The most popular types of Data Scientist Risk jobs are:
On Call Data Scientist Risk jobs near you
Infographic showing various On Call Data Scientist Risk job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 76% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - Credit & Risk

Divine Research Inc

San Francisco, CA • On-site

Full-time

Posted 3 days ago

Job description

Traditional credit was built for people who already have money. Requirements for credit history, collateral, and costly underwriting create insurmountable barriers for those who need capital most. Over 1.4 billion people lack access to credit. A vendor in Lagos earns cash daily but can't prove a steady income. A Colombian nurse with years of perfect informal repayments remains invisible to banks. Most lending systems spend a lot to guess who will repay, and yet so many who are creditworthy still can't get a loan.
We built an alternative called Credit. Since December 2024, it has issued over one million unsecured loans using stablecoins. People from around the world have used these loans to pay for things like groceries, medicine, and transportation. Backed by $6.6 million from Paradigm and Nascent, we're scaling a system that has already reached more than 900,000 unique borrowers. Help us take it to the next level.
About the role
We're looking for a data scientist to drive credit risk intelligence across Credit, our leading unsecured lending system. You'll own portfolio monitoring and reporting, research emerging risk trends, and transform borrower behavioral data into actionable guidance that shapes our credit strategy and roadmap.
While our engineering & research teams owns the underlying models, you'll be the person who makes sense of what they're telling us, tracking portfolio health, identifying issues early, and turning insights into clear recommendations for risk strategy and underwriting policy. Over time, this role may expand to drive broader product analytics across our suite of products.
This role is based in San Francisco, California. We work in a hybrid model, with the team in office 3 days per week.
Stack
  • Python
  • SQL
  • Grafana/Prometheus/Metabase
  • Blockchain data and indexing tools (Dune, Shovel)
Key responsibilities
  • Monitor credit risk models, including underwriting, loss forecasting, and fraud detection, and iterate based on observed portfolio performance
  • Design, build, and maintain scalable data pipelines, monitoring infrastructure, and dashboards to track portfolio health, user behavior, and key risk indicators
  • Partner with product, research, and engineering teams to define north star metrics and translate them into measurable, actionable credit and growth strategies
  • Design and analyze A/B tests, quasi-experiments, and causal inference studies to evaluate the impact of product and policy changes
  • Produce portfolio monitoring and investigative analyses, making recommendations based on findings
  • Translate complex quantitative findings into clear, compelling narratives for product, leadership, and cross-functional stakeholders
Requirements
  • 4+ years of experience in decision science, credit risk analytics, or a closely related quantitative role within fintech or consumer lending
  • Deep proficiency in Python and SQL; comfortable owning analyses end-to-end from raw data to recommendation
  • Strong understanding of credit risk modeling concepts, including PD/LGD modeling, scorecard development, reject inference, vintage analysis, and risk segmentation
  • Demonstrated experience monitoring credit risk metrics and portfolio performance, including loss forecasting and underwriting model improvement
  • Proven ability to influence and collaborate with cross-functional teams and senior stakeholders, with a track record of translating analytical findings into accessible, actionable insights
  • Experience designing and evaluating experiments (A/B tests, holdout groups, or causal inference frameworks) in a consumer product context
  • Comfortable with ambiguity and biased toward action; thrives with minimal oversight and brings strong problem-solving skills and sharp attention to detail
Nice to have
  • Experience building or maintaining large-scale data pipelines supporting B2C financial products
  • Familiarity with credit bureau data, cash flow underwriting, or alternative data sources in credit model development
  • Experience working in emerging markets, ideally on financial products serving everyday consumer needs (microfinance, BNPL, digital lending)
  • Strong understanding of DeFi protocol mechanics (lending, yield vaults, ERC4626) and experience with onchain data tooling (Dune, Shovel, Ponder, Goldsky or similar)
  • Exposure to regulatory frameworks relevant to consumer credit (FCRA, ECOA, or equivalent)

Divine Research is an equal opportunity employer.

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