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

Directors, Data Science

Manhattan, NY · On-site

$169K - $215K/yr

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit ... Experience must include 2 years of experience with each of the following: credit risk data from ...

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk ... Advanced analytical and data science skills to support decision-making and risk strategy ...

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit ... Experience must include 2 years of experience with each of the following: credit risk data from ...

Description The Credit Portfolio Risk Analyst will be one of the first people to build Bounce ... Partner with Data Science on estimated remaining collections (ERC) recalibration. * Diagnose return ...

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related ...

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and ... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related ...

Credit Risk Manager

New York, NY · Remote

$100K - $110K/yr

By bringing together financial tools, data, and trusted professionals, we give people more control ... Science practice. What You'll Do * Underwriting & New Accounts: Define and optimize credit ...

Credit Risk Manager

New York, NY · On-site

$100K - $110K/yr

By bringing together financial tools, data, and trusted professionals, we give people more control ... Science practice. What You'll Do * Underwriting & New Accounts: Define and optimize credit ...

... data scientists, developers, engineers and designers. About The Job The candidate will conduct ... Perform independent, objective and timely assessment of credit risk ratings and credit risk ...

Partner with Data Science on estimated remaining collections (ERC) recalibration. * Diagnose return ... in credit risk, portfolio analytics, structured or specialty finance, acquisitions, investment ...

Showing results 21-40

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 York?

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

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

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

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

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

Directors, Data Science

American Express

Manhattan, NY • On-site

$169K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

24th of 151 rated financial services


Job description


American Express Company seeks Directors, Data Science to drive the strategic analysis of credit metrics and credit provision.
Responsibilities
Lead the provision of credit-related analytical support, and develop and present key analyses and recommendations to management. Serve as the decisionmaker for developing analytics that identify trends and opportunities in the portfolio in order to optimize business and risk decisions. Own specific data assets and applications, ensuring the team's use of data science tools, when troubleshooting issues, reconciling results, identifying improvements and automation opportunities, and training other users to drive adoption.
Qualifications
Position requires a Bachelor's degree in Finance, Statistics, Quantitative Economics, Operations Research, Business Administration, Computer Science, Engineering, or a related field, followed by 5 years of progressively responsible risk management and risk analysis experience. Experience must include 2 years of experience with each of the following: credit risk data from credit bureaus and internal credit source, source systems, and data management processes; providing strategic guidance on risk information system implementation and enhancements, new data evaluation, and regulatory audit strategies; working with professional teams in multiple geographies; data analysis and transforming credit and risk capabilities using Big Data technologies, including Pig, Hive, and R; linear regression models, logistic regression models, and advanced machine learning models, including kNN, and GBM techniques; and Base SAS, SAS Enterprise Guide, SPSS, SQL, and Teradata. Telecommuting is available up to 2 days per week.
Job Location: New York, NY
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
US Job Seekers - Click to view the "Know Your Rights" poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider a number of job-related factors, including experience and location.
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About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

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