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Credit Risk Data Science Jobs in Brockton, MA (NOW HIRING)

Flexcar

Risk Data Scientist

Boston, MA · On-site

About the Role Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We're looking for someone who can own the full lifecycle of our risk ...

Flexcar LLC

Risk Data Scientist

Boston, MA · On-site

About the Role Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We're looking for someone who can own the full lifecycle of our risk ...

Flexcar

Risk Data Scientist

Boston, MA · On-site

$112 - $155/hr

About the Role Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We're looking for someone who can own the full lifecycle of our risk ...

Forward Financing

Lead Data Scientist

Boston, MA · On-site +1

$160K - $220K/yr

... for credit risk, pricing, collections, fraud, and other high-impact business use cases that drive better data-driven decisions * Lead end-to-end delivery of data science initiatives from problem ...

Jj

Principal Scientist Data Science

Cambridge, MA

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... risk management. * Adapt large language models (LLMs) for tailored information extraction and to ...

Td

Data Scientist III - FCRM Risk Modeling

Boston, MA · On-site

$96K - $155K/yr

... data analysis related material. Department Overview: The US Financial Crime Risk Modeling ... science) Graduate's degree preferred with either progressive project work experience or * 5+ year ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Brockton, MA

Credit Risk Data Science information

See Brockton, MA salary details

$37.2K

$114.4K

$198.4K

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

As of Aug 11, 2026, the average yearly pay for credit risk data science in Brockton, MA is $114,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $141,100.00 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 are popular job titles related to Credit Risk Data Science jobs in Brockton, MA? For Credit Risk Data Science jobs in Brockton, MA, the most frequently searched job titles are:
Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Brockton, MA as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $114,372 per year, or $55 per hour.

Risk Data Scientist

Flexcar

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Job Title: Risk Data Scientist
Location: Downtown Boston, MA 
Employment Type: Exempt Full Time 
Compensation: $112,000 - $155,000 + Full Benefit Package Day One
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone. We’ve created a month-to-month option that is more affordable than buying and more flexible than leasing. Our members are saving money and choosing a model that fits how real life actually works. Building a better model of car ownership takes more than technology. It takes people who value clarity, fairness, and real human experience. 
 About the RoleFlexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We’re looking for someone who can own the full lifecycle of our risk modeling stack: building and calibrating models, managing the platforms they run on, and translating results into actionable recommendations. This is a hands-on individual contributor role. You’ll work closely with our Risk, Finance, Product, and Operations teams and have significant influence over how we balance growth against risk exposure.
The models you build matter, and you’ll see their results in real performance data. Flexcar’s unique set of data provides an exciting arena to find signals in new and creative ways. The role spans modeling, platform management, and analytics, which means no two weeks look the same. If you want immediate impact and ownership across a full risk stack, this is the fit for you.What You’ll DoRisk Modeling & Model Development with AI
  • Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions using the latest AI tools
  • Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science
  • Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk models
  • Lead feature selection, target variable development, and model validation
  • Collaborate with stakeholders to set risk thresholds that balance growth with loss targets
Model Platform & Vendor Integration
  • Manage our modeling environment and maintain our orchestration platform, where all risk models and decision workflows live
  • Monitor data quality and technical integrations with data vendors across fraud, credit, debt, public records, and driving history, working with our Data Engineering and data pipelines are current and models are ingesting the right inputs
  • Partner with engineering and vendor technical teams when API changes or new data sources require updates that would benefit our modeling strength
Monitoring & Analysis
  • Monitor the performance of deployed risk frameworks against key metrics
  • Identify drift, anomalies, or opportunities for improvement and bring forward clear recommendations
  • Contribute to ad hoc analysis supporting risk strategy decisions
What We’re Looking For
Required
  • Bachelor’s degree in Economics, Mathematics, Business or a related discipline preferred
  • 3+ years of experience in a data science or quantitative modeling role with proven, quantifiable output
  • Comfortable leaning in to AI-first solutions, with experience using the latest AI tools to drive results at a high velocity
  • Strong Python and SQL skills; comfortable working with messy, real-world data
  • Hands-on experience building and deploying predictive models in a production environment
  • Ability to work independently and own outcomes, not just tasks
Nice to Have
  • Experience with AI data science platforms and orchestration platforms
  • Experience with behavioral or telematics-based risk signals is a strong plus.
  • Familiarity with third-party data vendors used in risk decisioning (bureau data, identity verification, motor vehicle records, etc.)
  • Experience in a startup or high-growth environment where the work is broad and the tooling is still evolving

What Tops Off the Tank
  • Rest & Relaxation: Flexible PTO policy.
  • Future Savings: Benefit from a 401(k) plan with company match from day one.
  • Benefits: Excellent, low-cost healthcare coverage including: medical, dental, vision, eligibility day one.
  • Drive a Flexcar! Discounted employee rate on Flexcar products and no annual membership fee.
  • Weekly Pay
  • And other amazing perks!

Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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