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Credit Risk Data Science Jobs in New Jersey (NOW HIRING)

Barclays

NJ · Hybrid

$195K/yr

Perform data clean up and analysis. * Resolve data integrity/upstream booking and data issues that ... Contribute to development of Credit Risk Reporting's management practices (e.g. Engage stakeholders ...

Barclays

AVP, Credit Risk Reporting

Whippany, NJ · On-site

Analysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk ... Barclays Services Corp. seeks AVP, Credit Risk Reporting (multiple positions) in Whippany, NJ:

Barclays

NJ · On-site

$188.18 - $195/hr

Perform data clean up and analysis. * Resolve data integrity/upstream booking and data issues that ... Contribute to development of Credit Risk Reporting's management practices (e.g. Engage stakeholders ...

Cross River

VP, Commercial Credit Risk

Fort Lee, NJ · On-site

Collaborate with credit risk analytics and data teams to validate scorecard performance, calibrate rating thresholds, and ensure alignment with regulatory expectations (FDIC guidance, Interagency ...

Cross River

VP, Commercial Credit Risk

Fort Lee, NJ · On-site

Collaborate with credit risk analytics and data teams to validate scorecard performance, calibrate rating thresholds, and ensure alignment with regulatory expectations (FDIC guidance, Interagency ...

Cross River

VP, Commercial Credit Risk

Fort Lee, NJ · Hybrid

Collaborate with credit risk analytics and data teams to validate scorecard performance, calibrate rating thresholds, and ensure alignment with regulatory expectations (FDIC guidance, Interagency ...

Bank of America

Risk Data Modeler III

Jersey City, NJ · On-site

$60 - $77.75/hr

... Credit Risk Technology (CCRT). The risk data modeler would work closely with the application development teams, business stakeholders, technology infrastructure database administrators to execute ...

Bank of America

Risk Data Modeler III

Jersey City, NJ

$57.25 - $74/hr

... Credit Risk Technology (CCRT). The risk data modeler would work closely with the application development teams, business stakeholders, technology infrastructure database administrators to execute ...

Td

Risk Manager I (US)

Mount Laurel, NJ · On-site

$91K - $136K/yr

The position is expected work with data vendors such as Credit bureaus to obtain and validate ... scientific or financial background * Excellent written and verbal communication skills

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Credit Risk Data Science information

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 New Jersey?

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

What job categories do people searching Credit Risk Data Science jobs in New Jersey look for?

The top searched job categories for Credit Risk Data Science jobs in New Jersey are:

What cities in New Jersey are hiring for Credit Risk Data Science jobs?

Cities in New Jersey with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you

Director of Data Science - Risk Monitoring

Fiserv, Inc.

Berkeley Heights, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Fiserv rating

7.7

Company rating: 7.7 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

108th of 151 rated financial services

Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Director of Data Science - Risk Monitoring
About the role:
You will be part of the Merchant Solutions Decision Science & Risk Solutions leadership team, responsible for advancing the AI/ML and decisioning capabilities that power Fiserv's merchant risk and growth solutions. The team develops predictive batch and real-time models, decision frameworks, and automated risk controls that help manage fraud and credit risk exposure while enabling revenue growth and improving the overall merchant experience.
You will oversee analytics and risk solutions supporting existing merchant populations, including Risk Monitoring, Clover Capital, and other portfolio management initiatives. Leveraging internal and external data assets, this leader will drive the development of innovative, data-driven capabilities that strengthen risk management, uncover growth opportunities, and deliver measurable business value.
Success in this role requires strong collaboration across Decision Science, Product, Technology, Risk, Operations, and client-facing teams to deliver scalable, best-in-class analytical solutions and strategic business outcomes.
What you will do:
  • Lead and develop a high-performing team of Data and Decision Science professionals, providing coaching, mentorship, and strategic direction while representing the organization in senior leadership and client engagements.

  • Drive the AI/ML strategy for existing merchant portfolios, leveraging merchant, transaction, and third-party data to develop data-driven capabilities, predictive models, and automated decision frameworks that improve risk management, merchant experience, and business growth.

  • Oversee the end-to-end lifecycle of predictive models, optimized decision frameworks, and automated risk controls, from opportunity identification and development through deployment, monitoring, and optimization.

  • Generate actionable insights from payment network, merchant, and risk data, applying innovative analytical techniques to prevent fraud and credit losses, optimize portfolio performance, and support growth across digital and traditional channels.

  • Partner with business, product, technology, and risk stakeholders to translate complex business challenges into scalable analytical solutions that balance risk management, merchant experience, and growth objectives.

  • Lead the modernization of risk analytics and decisioning capabilities, including the adoption of new data sources, advanced technologies, and real-time decisioning solutions.

Experience you will need to have:
  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Data Science, Computer Science, Engineering, or a related discipline.

  • 10 years of experience in data science, predictive modeling, fraud and risk analytics, or related quantitative disciplines, including experience leading teams and delivering analytics solutions that drive business outcomes.

  • Demonstrated expertise in AI/ML, advanced analytics, and decision optimization, with a proven ability to translate complex data into actionable insights, risk controls, and growth opportunities.

  • Strong knowledge of payment, merchant, lending, fraud, fintech, financial services or credit risk ecosystems, including the use of merchant and transaction data to support risk management and portfolio growth strategies.

  • Proficiency with analytical and data technologies, including Python, Snowflake, and modern data platforms, with the ability to guide teams in the development, deployment, and monitoring of analytical solutions.

Experience that would be great to have:
  • Master's degree or PhD in Statistics, Mathematics, Data Science, Computer Science, Engineering, or another quantitative discipline.

  • Deep expertise in AI/ML techniques and advanced statistical modeling, including experience applying predictive analytics to business and risk management challenges.
  • Experience leveraging credit bureau, alternative, and third-party data sources to enhance risk assessments, predictive models, and automated decision strategies.

How you will work:
This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experience helps you with your overall onboarding experience and leads to stronger productivity.
Sponsorship:
You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.
Benefits at Fiserv:
  • Fuel Your Life wellness program with activities and rewards to support total well-being
  • Paid statutory holidays, Recharge & Refuel vacation (years-of-service tiers), and a Paid Sick Time program
  • No-cost, confidential support through the Employee Assistance Program (EAP) for you and household members
  • Recognition through Living Proof, with points redeemable for merchandise and gift cards
  • Eight Employee Resource Groups to build connection and inclusion
  • RRSP with 100% company match up to 5%, a Non-Registered Savings Plan (NREG), and an Employee Stock Purchase Plan (ESPP)
  • Comprehensive extended health care and vision benefits, plus dental coverage
  • Company-paid Basic Life and AD&D, with optional life and AD&D coverage available
  • Company-paid Short-Term Disability and Long-Term Disability income protection
  • Emergency medical coverage for out-of-province/out-of-country travel via extended health benefits

#LI-CD1
Salary Range
$136,000.00 - $225,600.00
These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.
Thank you for considering employment with Fiserv. Please:
  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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About Fiserv

Sourced by ZipRecruiter

Fiserv is a global leader in fintech and payments for over 35 years serving thousands of financial institutions and millions of businesses in more than 100 countries. Our Purpose is to deliver superior value for our clients through leading technology, targeted innovation, and excellence in everything we do as we process over 40% of the world's debit and credit transactions.

Industry

It services and software development

Company size

10,000+ Employees

Headquarters location

Brookfield, WI, US

Social media

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