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

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

In this role, you will design, build, and optimize the models that power our credit risk systems ... Own the full applied science development lifecycle, from data exploration and feature development ...

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · Remote

$165K - $228K/yr

In this role, you will design, build, and optimize the models that power our credit risk systems ... Own the full applied science development lifecycle, from data exploration and feature development ...

BBVA

Credit Risk Review Vice President

New York, NY · On-site

$150K - $170K/yr

... data scientists, developers, engineers and designers. About the job: Summary The candidate will ... Perform independent, objective and timely assessment of credit risk ratings and credit risk ...

BBVA

Credit Risk Review Vice President

Manhattan, NY · On-site

$150K - $170K/yr

... data scientists, developers, engineers and designers. About the job: Summary The candidate will ... Perform independent, objective and timely assessment of credit risk ratings and credit risk ...

Parker

Credit Analyst Manager

New York, NY · On-site

$180K - $205K/yr

If you're passionate about credit risk, data-driven decisioning, and enabling customers through smarter finance - this role is for you. What You'll Do: * Lead the credit analyst team for new and ...

Brigit

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

Experience applying predictive modeling to credit risk assessment, churn prediction, loss and ... data science productivity, quality, and business impact. The anticipated annual base salary for ...

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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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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 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:
Credit Risk Data Science jobs near you

Credit Risk Model Owner

BizTek People, Inc. | APA International Placement Consultants

Manhattan, NY • On-site

Full-time

Posted 26 days ago

Job description


An iInternational banking organization seeks Analyst or Associate level of Credit Risk Model Owner to serve as local model owner to monitor and manage credit risk related models for the Bank's
Responsibilities: Delivery
• Conduct model performance monitoring based on monitoring plan and subsequent revisions, communicate with team leads, model validation team, model users and other stakeholders
• Maintain the An iit risk related model inventories, work with model validators to prepare the model documentation package, model attestation, etc.
• Address model risk findings which are issued by model validation group and internal audit generally
• Develop internal credit risk models collaborating with Tokyo Head Office, Model Validation team and/or external vendors
• Periodic monitoring on the use of credit models to identify and examine the need for enhancements of the models and their user guidance including training to model users
• Enhance model management, governance processes and model documentation standards to improve efficiency and accuracy of model validation process
Interpersonal Objectives:
• Communicate with various model stakeholders, including model users, model validators and internal auditors across the bank including Tokyo Head Office
• Report to team leads and senior management and also lead and train junior members
• Recommend enhancements to data management process to improve efficiency and accuracy of ongoing performance monitoring
• Consider the best approach to address the issues and feedback from model users
• Make presentations to senior management and regulators about credit risk related models and make trainings to model users
Requirements
  • Strong knowledge of Model RiskManagement framework, regulation and industry practice (Experience relatedto Credit Risk Rating Model is better)
  • Good experience and knowledge asCredit Risk Model Owner including developing credit rating models anddocumentation
  • Strong presentation skills tocreate visualized charts/materials for readers including regulators andsenior management
  • Demonstrated ability to workindependently and successfully manage multiple priorities and stakeholdersunder pressure
  • Ability to communicateappropriately at different levels of the organization to buildcollaborative relationships

Skills
  • Minimum work experience in modelrisk management of two years or more such as either model developer, modelvalidator or both (experience related to credit risk rating models ishighly desirable)
  • Major inProbability/Statistics/Financial Mathematics/Computer Science preferred
  • Master Degree/CFA/FRM preferred
  • Highly desirable technical andquantitative analysis skills with statistic knowledge and with technicalknowledge such as using Excel (VBA), MS Access, SQL, SAS and Python.
  • Excellent interpersonal andwritten and verbal communication skills
  • Japanese language skill a plus

Benefits
Good benefits

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