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

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

... risk ratings, documentation, closing, file maintenance and data input. Works specifically on complex loans for commercial real estate, lines of credit and term loans. Manages the entire credit ...

In this role, you will collaborate with software engineering, data science, and product management ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

Working closely with Engineering, Design, Data Science, Risk, Legal, Compliance, and Operations ... Build scalable credit decisioning, underwriting, and payments capabilities that support multiple ...

Working closely with Engineering, Design, Data Science, Risk, Legal, Compliance, and Operations ... Build scalable credit decisioning, underwriting, and payments capabilities that support multiple ...

Working closely with Engineering, Design, Data Science, Risk, Legal, Compliance, and Operations ... Build scalable credit decisioning, underwriting, and payments capabilities that support multiple ...

Showing results 41-60

Credit Risk Data Science information

See Antioch, CA salary details

$42.1K

$129.5K

$224.6K

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

As of Aug 22, 2026, the average yearly pay for credit risk data science in Antioch, CA is $129,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,800.00 and $159,700.00 per year, depending on experience, location, and employer.

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.

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 are popular job titles related to Credit Risk Data Science jobs in Antioch, CA?

For Credit Risk Data Science jobs in Antioch, CA, the most frequently searched job titles are:

What cities near Antioch, CA are hiring for Credit Risk Data Science jobs?

Cities near Antioch, CA with the most Credit Risk Data Science job openings:

(USA) Senior Manager, Advanced Analytics - Payments Strategy & Analytics, Marketplace

Walmart

Hayward, CA • On-site

$117K - $234K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,488 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...What you'll do This role will be a key member of the Marketplace Partner Payments team with a focus on Payments and Financial Operations for Marketplace Sellers. As a Sr Manager, you will shape and execute the overall vision for payment strategies, financial losses management and seller payments experience. You will lead and develop a high performing team, driving initiatives that protect our P&L by reducing financial risk, and elevate the seller experience at scale.
  • Develop and implement robust payment frameworks to proactively reduce payment losses and chargebacks by analyzing trends, identify root causes and drive initiatives to manage losses
  • Define and lead payment strategies and measures to proactively identify and mitigate payment losses, including fraud. Partner closely with Seller Risk, Trust & Safety, Data Science and Operations teams to ensure secure payment ecosystem for sellers. 
  • Partner strategically with the Credit Risk and Billing teams overseeing seller services to proactively manage and reduce overall payment losses. Provide actionable insights and feedback to strengthen payment risk frameworks to support sustainable seller growth
  • Accelerate automation of payment workflows and controls, streamlining payment reconciliation, settlements. Improve operational efficiency, reduce manual intervention, and enable scalable support for high-growth seller segments and new service launches.
  • Transform the end-to-end seller payments journey, identifying friction points such as payment holds, delays, and cross-border complexities in working with the Business Operations team. Develop and execute comprehensive strategies that simplify processes, improve transparency, and elevate the overall seller payment experience to strengthen marketplace trust.
  • Collaborate effectively with Product and Tech teams to influence and deliver on payment-related roadmaps, aligning with business objectives and ensuring seamless execution. Inspire and lead cross-functional stakeholders towards shared strategic outcomes.
  • Leverage advanced data analytics to generate actionable insights, empower your team in developing data-driven recommendations that shape strategic decisions, optimize payment performance metrics, and drive key outcomes such as prevented losses, false positives, and improved seller NPS etc.
  • Lead, mentor, and grow a talented team, fostering a culture of ownership, accountability, and data-driven decision-making. Inspire the team to consistently deliver results and support their professional development.
Key Success Criteria
  • Visionary leadership and Strategic Thinking
  • Strong analytical and problem-solving expertise
  • Exceptional communication and influencing skills
  • Demonstrated ability to drive ownership and accountability
  • Proven track record of building and developing high-performing teams
  • Data-driven mindset with a bias for action
  • Ability to build trust and foster collaboration across diverse stakeholders
  • Deep commitment to operational excellence and seller success
Qualifications
  • Master’s degree in Business, Statistics, Computer Science, or similar field required.
  • 5+ years of progressive experience preferably in Payments, eCommerce, Risk, Financial Services, or a similar space, with at least 3+ years in a leadership or team management capacity driving high-impact programs
  • Proven success leading and developing cross-functional and analytics teams, with demonstrated ability to inspire, mentor, and build a culture of ownership and high performance
  • Advanced understanding of SQL with hands-on experience working with large-scale datasets.
  • Experience with one or more data visualization tools such as Tableau, Looker etc.
  • Exceptional analytical skills, both quantitative and qualitative, with a proven track record of using data-driven insights to influence strategic business decisions and deliver measurable results.
  • Excellent communication and interpersonal skills, with the ability to influence and build relationships with stakeholders at all levels.
  • Knowledge of e-commerce marketplace platforms, seller payments and financial ecosystems is a plus.
  • Understanding risk management and fraud prevention in payments is an advantage.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field OR 6 years'
experience in data analytics or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Masters: Business Administration, Masters: Information Systems, Masters: Statistics Primary Location... 809 11th Ave, Sunnyvale, CA 94089-4731, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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