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Data Scientist Risk Jobs in California (NOW HIRING)

As a Data Scientist, you will collaborate with cross-functional partners to identify and solve ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Expertise in statistical methods for time series analysis, statistical modeling, and probabilistic risk assessment. * Relevant industry experience (electric or gas utility, data science consulting ...

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Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

In financial crimes risk management, Quantifind's solution uniquely combines internal financial ... Members of the Data Science team prototype and build complex Machine Learning solutions, improve ...

Associate Data Scientist

Palo Alto, CA

$69K - $69K/yr

In financial crimes risk management, Quantifind's solution uniquely combines internal financial ... Members of the Data Science team prototype and build complex Machine Learning solutions, improve ...

Partner with project controls, scheduling, cost management, risk management, finance, and program ... Master's degree in data science, computer science, statistics, engineering, business analytics, or ...

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ... Designing experiments that navigate the tradeoff between growth and risk - expanding access to ...

Partner with project controls, scheduling, cost management, risk management, finance, and program ... Master's degree in data science, computer science, statistics, engineering, business analytics, or ...

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

They are seeking a Data Scientist to help build, evaluate, and continuously improve mitigations ... emerging risk areas). • Diagnose false positives and false negatives with deep error analysis ...

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real ... risk models, and player behavior systems. Every model we ship touches real money and real users.

Sr Data Scientist

San Jose, CA · On-site

$143K - $212K/yr

Exposure to financial industry, risk management, data driven operations process management required. * Experience developing data science infrastructure to manage financial processes preferred. * Be ...

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Data Scientist Risk information

See California salary details

$37K

$121.1K

$193.9K

How much do data scientist risk jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data scientist risk in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What types of projects or problems do Data Scientist Risk professionals 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 is a Data Scientist Risk job?

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 are the key skills and qualifications needed to thrive in the Data Scientist Risk position, and why are they important?

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.

What are the most commonly searched types of Data Scientist Risk jobs in California? The most popular types of Data Scientist Risk jobs in California are:
What job categories do people searching Data Scientist Risk jobs in California look for? The top searched job categories for Data Scientist Risk jobs in California are:
What cities in California are hiring for Data Scientist Risk jobs? Cities in California with the most Data Scientist Risk job openings:
Infographic showing various Data Scientist Risk job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.
Staff Fraud and Risk Analyst - Neobanking

Staff Fraud and Risk Analyst - Neobanking

Intuit

Mountain View, CA • On-site

$168K - $228K/yr

Full-time

Posted 26 days ago


Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

85th of 209 rated software companies


Job description

Overview

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.


As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team. 


Responsibilities

This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.


  • Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans

  • Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance

  • Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem

  • Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses

  • Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk

  • Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies

  • Must have good judgement with the ability to think creatively and strategically


Qualifications

  • Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.

  • Preferred experience with Fintech, NeoBanking, Crypto, or Money Movement space.

  • Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks

  • Demonstrated experience in designing experiments and using data-driven insights to solve business problems. 

  • Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.

  • Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.

  • You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.

  • Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations


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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
New York $168,500 - $228,000
Mountain View, CA $176,500- $238,500

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