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Credit Risk Data Science Jobs in Concord, CA (NOW HIRING)

Senior Data Scientist

San Francisco, CA ยท On-site

$175 - $200/hr

Identifying the credit risk of customers so we can help more people in need when they need it ... Advanced degree in data science, statistics, computer science, or related field. * Proven expertise ...

New

Senior Data Scientist

San Francisco, CA ยท On-site

$175 - $200/hr

Identifying the credit risk of customers so we can help more people in need when they need it ... Advanced degree in data science, statistics, computer science, or related field. * Proven expertise ...

New

Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers. Mission | We deliver data-driven information solutions to protect our ...

Partner closely with global Marketing, Operations, Credit & Risk, Data Science, Compliance, Product, and Engineering teams to ensure a seamless experience for our customers and leverage each group ...

New

Credit Policy Analyst

Vacaville, CA ยท On-site

$90K - $132K/yr

Credit Risk assessment models, Policy updates, Portfolio Analysis, Compliance Audits. Skills: * Quantitative & Analytical Proficiency - Strong ability to analyze financial data, credit models, and ...

Data Scientist, Risk

San Francisco, CA ยท On-site

$186 - $230/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. * Strong SQL skills and comfort with ...

New

Data Scientist, Risk

San Francisco, CA ยท On-site

$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 ...

Key Responsibilities Credit Risk & Portfolio Management * Lead the Company's credit risk and ... data analytics, and scalable business practices. * Foster collaborative relationships across ...

... risk, legal, compliance, and executive teams to set business objectives, define product strategy ... Manage a team of Data Scientists supporting SoFi's Checking and Savings, Invest, Credit Card ...

Key Responsibilities Credit Risk & Portfolio Management * Lead the Company's credit risk and ... data analytics, and scalable business practices. * Foster collaborative relationships across ...

Partner closely with global Marketing, Operations, Credit & Risk, Data Science, Compliance, Product, and Engineering teams to ensure a seamless experience for our customers and leverage each group ...

Global Collections Director

San Francisco, CA ยท On-site

$258K - $279K/yr

Partner closely with global Marketing, Operations, Credit & Risk, Data Science, Compliance, Product, and Engineering teams to ensure a seamless experience for our customers and leverage each group ...

... risk processes and governance programs, and credit data at U.S. Bank, or another mid-sized or large banking institution - Considerable understanding of the business line's operations, products ...

Showing results 41-60

Credit Risk Data Science information

See Concord, CA salary details

$40.6K

$125K

$216.7K

How much do credit risk data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for credit risk data science in Concord, CA is $124,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $154,200.00 per year, depending on experience, location, and employer.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

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

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What job categories do people searching Credit Risk Data Science jobs in Concord, CA look for? The top searched job categories for Credit Risk Data Science jobs in Concord, CA are:
What cities near Concord, CA are hiring for Credit Risk Data Science jobs? Cities near Concord, CA with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Concord, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,958 per year, or $60.1 per hour.

Senior Data Scientist

Apply

San Francisco, CA โ€ข On-site

$175 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Brigit is a holistic financial health company helping everyday Americans build a brighter financial future.

Role overview

As a Data Scientist on our team, youโ€™ll be responsible for building, improving, and maintaining the key ML models that enable our services. The key problem spaces we focus on are:

  • Identifying the credit risk of customers so we can help more people in need when they need it
  • Identifying fraud early, so we can focus on customers who rely on us for support
  • Optimizing our transaction timing to prevent customers from overโ€‘drawing their accounts

We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting new use cases when needed, you will also have the opportunity to help us stand up best practices and collaborate across Data Science, Analytics, Product, and Engineering teams.

What youโ€™ll be doing
  • Build, test, improve and roll out new models in a variety of problem spaces.
  • Analyze how our customer base is shifting as we grow and pinpoint areas we can improve.
  • Help our existing engineering and business teams achieve our crossโ€‘functional goals.
What you have
  • 5+ years of experience doing data science (modeling + analysis)
  • Advanced degree in data science, statistics, computer science, or related field.
  • Proven expertise in machine learning principles and techniques.
  • Experience in Python, using industryโ€‘standard modeling toolkits like scikitโ€‘learn, JupyterLab, pandas, matplotlib, statsmodels, etc.
  • Experience in writing complex SQL queries and the ability to combine multiple data sources.
  • Experience creating training data sets, training models, tuning hyperparameters, performing validation, running A/B tests in production, and owning performance and model monitoring.
  • Experience building classification and prediction models, testing them in a startup environment, and iterating to improve their performance.
  • Ability to work effectively and communicate ideas and code clearly in a crossโ€‘functional team environment (Engineering, Product and Business teams).
  • Experience building endโ€‘toโ€‘end data science solutions to address business needs: from ideation to deployment & A/B testing.
  • Strong written and verbal communication skills, with the ability to explain complex concepts to various audiences.
Who You Are
  • Passionate selfโ€‘starter who is always looking for ways to optimize, test, and improve.
  • Comfortable operating through ambiguity by asking questions and learning quickly.
  • Always willing to collaborate and help your colleagues do their best work.
  • Passionate about making a difference in peopleโ€™s lives through your work.
Compensation

The anticipated annual base salary for this position is $175,000 - $200,000 with a 10% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Benefits & Team
  • Medical, dental, and vision insurance
  • Flexible PTO policy
  • 401(k) plan
  • Paid parental leave
  • Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited onโ€‘demand health support
  • Monthly reimbursements for wifi and cell phone bills
  • Annual reimbursement for learning & development
  • Help hard working Americans build a brighter financial future
  • Highโ€‘growth company
  • A dynamic, flexible and collaborative startโ€‘up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breastfeeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.

For information on our data privacy policies, see the Brigit California Personnel Privacy Policy. Brigit uses Eโ€‘Verify for employment authorization. See the Eโ€‘Verify and Department of Justice websites for more details.

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