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

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

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 ...

We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a ...

Chief Credit Officer

Toms River, NJ · On-site

$150 - $200/hr

This executive-level role will be responsible for credit strategy, risk oversight, underwriting ... data analytics tools, CRM systems, and workflow automation solutions * Experience improving ...

Showing results 21-40

Credit Risk Data Science information

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 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:

Wholesale Credit Quantitative Research - Senior Associate

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 15 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Help strengthen how we measure and manage risk in cleared derivatives. You will build quantitative models and tools that assess central counterparty margin adequacy and support counterparty credit risk management. Working with partners across controls and technology, you will take research into practical, production-ready solutions. Your work will directly inform risk frameworks and governance.

Job summary 

As a Quantitative Research Senior Associate in Wholesale Credit Risk Quantitative Research, you will develop models and tools that assess central counterparty margin adequacy and support counterparty credit risk management for cleared derivatives. You will collaborate with a team that values strong partnerships, thoughtful analysis, and clear communication. You will work closely with risk governance and control partners to support a well-managed model lifecycle. You will engage technology partners to help deliver scalable, production-ready solutions.

Job responsibilities 

  • Develop expertise in quantitative topics related to central counterparties and cleared derivatives
  • Create models and tools to assess the adequacy of margin requirements for cleared derivatives
  • Develop and enhance models and toolsets that evaluate the effectiveness of counterparty risk frameworks
  • Build statistical models and analytics to assess and manage counterparty credit risk
  • Partner with risk governance and control teams to support model oversight and ongoing reviews
  • Collaborate with technology partners to implement, test, and deploy production-ready models and tools
  • Document assumptions, methodologies, and limitations clearly to support transparency and re-use
  • Communicate findings and recommendations in a clear, logical way to technical and non-technical stakeholders

Required qualifications, capabilities, and skills 

  • Doctorate or master's degree (or equivalent) in financial engineering, operations research, statistics, mathematics, computer science, economics, or a related field
  • 3 years of experience in quantitative research, quantitative strategy, or a closely related quantitative role
  • Proficiency in Python for model development and data analysis
  • Strong understanding of cleared derivatives and risk management methodologies, including value at risk and stress testing, across asset classes
  • Excellent verbal and written communication skills, with the ability to articulate analysis clearly and logically
  • Demonstrated attention to detail and the ability to deliver across multiple time-sensitive timelines
  • Strong risk and control mindset and a track record of effective cross-team partnership
     

Preferred qualifications, capabilities, and skills 

  • Proficiency in R in addition to Python
  • Experience assessing central counterparty margin methodologies and margin adequacy
  • Experience developing or enhancing counterparty credit risk models for derivatives
  • Experience deploying analytical models into production environments in partnership with engineers
  • Familiarity with model governance expectations, documentation, and ongoing monitoring practices
  • Experience working with cleared products across multiple asset classes
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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