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Credit Risk Data Science Jobs in Hempstead, NY (NOW HIRING)

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 ...

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 ...

You will own credit risk for one of the largest asset managers in onchain finance. Gauntlet serves ... data analysis, counterparty financials and legal structure, redlines, and final deal approval.

You will own credit risk for one of the largest asset managers in onchain finance. Gauntlet serves ... data analysis, counterparty financials and legal structure, redlines, and final deal approval.

Credit Risk Analyst

Manhattan, NY · On-site

$150 - $200/hr

You will own credit risk for one of the largest asset managers in onchain finance. Gauntlet serves ... data analysis, counterparty financials and legal structure, redlines, and final deal approval.

Showing results 41-60

Credit Risk Data Science information

See Hempstead, NY salary details

$38.5K

$118.4K

$205.4K

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

As of Sep 7, 2026, the average yearly pay for credit risk data science in Hempstead, NY is $118,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $146,100.00 per year, depending on experience, location, and employer.

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 Hempstead, NY?

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

What job categories do people searching Credit Risk Data Science jobs in Hempstead, NY look for?

The top searched job categories for Credit Risk Data Science jobs in Hempstead, NY are:

What cities near Hempstead, NY are hiring for Credit Risk Data Science jobs?

Cities near Hempstead, NY with the most Credit Risk Data Science job openings:

Wholesale Credit Risk Execution Platform Vice President

Sumitomo Mitsui Financial Group, Inc.

Manhattan, NY • On-site

$145K - $196K/yr

Other

Re-posted 16 days ago


Job description

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.
In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
The anticipated salary range for this role is between $145,000.00 and $196,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.
Role Description
The Vice President - Wholesale Credit Risk Execution Platform will lead the delivery, execution, and ongoing enhancement of a centralized credit risk platform supporting CCAR, CECL, and IFRS 9 regulatory and management reporting. The role focuses on translating regulatory and business requirements into scalable data, reporting, and analytics solutions across wholesale credit portfolios. The position partners closely with Risk Analytics, Finance, Front Office, Model Risk, and Technology teams to ensure timely execution, strong governance, and regulatory certainty across stress testing and accounting regimes.
Role Responsibilities:
• Lead end-to-end execution of the Wholesale Credit Risk platform supporting CCAR, CECL, and IFRS 9, ensuring consistency across regulatory and management views
• Own production and analysis of credit risk data, metrics, and reports used for stress testing, allowance, and capital calculations
• Coordinate delivery of CCAR regulatory submissions (e.g., FR Y 14Q / FR Y 14A) and support CECL and IFRS 9 disclosures, ensuring accuracy, completeness, and audit readiness
• Partner with Risk Analytics and Modeling teams to operationalize credit risk methodologies, scenarios, and assumptions within the execution platform
• Work closely with Finance and Accounting teams to align CECL and IFRS 9 reporting outputs with financial disclosures and controls
• Drive automation and strategic transformation of credit risk execution processes, reducing manual adjustments and operational risk
• Define and document business requirements for data ingestion, calculation engines, controls, and reporting layers, including dashboards and analytics (e.g., Power BI)
• Collaborate with Technology teams to build scalable, well governed data pipelines sourcing from authoritative systems and centralized data platforms (e.g., Lakehouse)
• Establish strong reconciliations across source systems, risk engines, finance outputs, and regulatory submissions to ensure data integrity
• Interpret regulatory guidance and supervisory feedback (Federal Reserve and global regulators) and ensure consistent implementation within the execution platform
• Develop and maintain robust controls, data governance standards, and audit ready documentation across all production processes
• Serve as a key point of contact for internal audit, regulatory exams, and senior management on credit risk execution and reporting topics
Qualifications and Skills
• 8+ years of experience in Wholesale Credit Risk, Stress Testing, Regulatory Reporting, or Risk Technology execution within a global bank
• Strong understanding of CCAR stress testing, CECL, and IFRS 9 frameworks and their end to end execution requirements
• Experience supporting regulatory reporting such as FR Y 14Q and FR Y 14A and coordinating regulatory deliverables
• Solid knowledge of wholesale credit products and portfolios (e.g., corporate, structured finance, trade finance, CRE, leveraged lending)
• Proven experience driving large scale reporting and data platform implementations or transformations
• Strong understanding of risk data architecture, lineage, controls, and BCBS 239 principles
• Hands on experience with reporting and analytics tools such as Power BI, SQL based data platforms, or similar technologies
• Excellent stakeholder management and communication skills, with the ability to engage senior risk, finance, technology, and regulatory audiences
• Strong attention to detail, execution discipline, and focus on controls, governance, and data quality
• Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, or a related field (advanced degree preferred)
SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.