ZipRecruiter

Log In

1

Freelance Credit Risk Modeling Jobs in California

Intuit

Manager 2, AI Science

Mountain View, CA · On-site

You will own credit risk modeling for our consumer lending and fast-money products, and you will lead the expansion of our fraud modeling program - across three business verticals: Banking, Workforce ...

New

E*Pro, Inc.

CCAR Business Analyst

Santa Clara, CA · On-site

CCAR, BASEL, Credit Risk and Economic Modeling in Banks CCAR/DFAST Stress Testing: Model Development Credit Risk Modeling: Application/Behaviour/Collection scorecard development across products like ...

previous pagenext page

Showing results 21-40

All JobsCredit Risk Modeling JobsFreelance Credit Risk Modeling JobsFreelance Credit Risk Modeling Jobs in California

Freelance Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a freelance credit risk modeler, and why are they important?

To thrive as a Freelance Credit Risk Modeler, you need a strong background in statistics, quantitative finance, and data analysis, typically supported by a degree in finance, mathematics, or a related field. Proficiency in programming languages such as Python, R, or SAS, along with experience using risk modeling software and knowledge of regulatory frameworks like Basel III, is crucial. Excellent communication, project management, and client relationship skills help distinguish top freelancers in this role. These abilities are essential for delivering accurate risk assessments, meeting client expectations, and maintaining compliance in a dynamic financial environment.

What is freelance credit risk modeling?

Freelance credit risk modeling involves independent professionals analyzing and predicting the likelihood that borrowers or counterparties will default on financial obligations. These freelancers use statistical methods, machine learning models, and data analysis to assess credit risk for banks, lenders, or other firms. Their work helps organizations make informed lending decisions, set appropriate interest rates, and comply with regulatory requirements. Freelancers in this field may work on projects like developing credit scorecards, stress testing portfolios, or validating existing risk models.

What is the difference between Freelance Credit Risk Modeling vs Credit Analyst?

AspectFreelance Credit Risk ModelingCredit Analyst
CredentialsRelevant certifications (e.g., CFA, credit risk certifications), strong quantitative skillsTypically requires a degree in finance, economics, or related field; certifications are a plus
Work EnvironmentIndependent, project-based, remote or client-siteUsually in banks, financial institutions, or corporate offices
Industry UsageUsed by consulting firms, freelance platforms, and financial servicesEmployed directly by financial institutions or corporations
Comparison Search IntentUnderstanding freelance opportunities in credit risk modelingAssessing creditworthiness and risk for lending decisions

Freelance Credit Risk Modeling involves independent, project-based work focusing on developing risk models, often remotely. Credit Analysts work within organizations to evaluate creditworthiness, typically in a structured environment. While both roles require financial expertise and similar credentials, their work settings and employment types differ significantly.

How do freelance credit risk modelers typically collaborate with clients and other stakeholders during projects?

Freelance credit risk modelers usually work closely with client teams such as credit analysts, data engineers, and compliance officers to understand data sources, project objectives, and regulatory requirements. Communication often occurs through regular virtual meetings, progress reports, and collaborative tools to ensure transparency and alignment. Freelancers must be proactive in clarifying goals, sharing preliminary findings, and incorporating feedback to deliver models that meet both technical and business needs. Building strong client relationships and maintaining clear documentation are key to successful collaboration in this role.
What are the most commonly searched types of Credit Risk Modeling jobs in California? The most popular types of Credit Risk Modeling jobs in California are:
What are popular job titles related to Freelance Credit Risk Modeling jobs in California? For Freelance Credit Risk Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Credit Risk Modeling jobs in California look for? The top searched job categories for Freelance Credit Risk Modeling jobs in California are:
What cities in California are hiring for Freelance Credit Risk Modeling jobs? Cities in California with the most Freelance Credit Risk Modeling job openings:
Freelance Credit Risk Modeling jobs near you

Staff Data Scientist, ML (Credit Risk)

Robinhood

Menlo Park, CA • On-site

$217K - $255K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago

Robinhood rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team + role
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Credit Card business team's mission is to shape Robinhood's vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood's broader goals!
As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment.
This role is based in our Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you'll do
  • Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
  • Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
  • Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models
  • Deploy, maintain and monitor models in production
  • Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings
What you bring
  • You have 7+ years of experience in data science and credit modeling
  • You have strong proficiency in SQL and Python for data analysis and modeling
  • You have experience designing experiments and interpreting results to guide product decisions
  • You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus
  • You communicate clearly with both technical and non-technical partners
What we offer
  • Challenging, high-impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$217,000-$255,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$191,000-$224,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$170,000-$199,000 USD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

What Robinhood employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply