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Credit Risk Data Science Jobs in DeLand, FL (NOW HIRING)

Maintain input or data quality of risk management systems. Produce reports or presentations that outline findings, explain risk positions, or recommend changes. Use credit systems such as the credit ...

Maintain input or data quality of risk management systems. Produce reports or presentations that outline findings, explain risk positions, or recommend changes. Use credit systems such as the credit ...

Senior Vice President, Credit Risk

Lake Mary, FL ยท On-site +1

$143K - $190K/yr

Maintain input or data quality of risk management systems. Produce reports or presentations that outline findings, explain risk positions, or recommend changes. Use credit systems such as the credit ...

Cyber Data Protection Manager

Lake Mary, FL ยท Remote

$97K - $131K/yr

If so, consider joining Deloitte & Touche LLP's growing Cyber Risk Digital Trust & Privacy practice ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

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Credit Risk Data Science information

See DeLand, FL salary details

$32.9K

$101.4K

$175.8K

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

As of Jul 5, 2026, the average yearly pay for credit risk data science in DeLand, FL is $101,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $125,100.00 per year, depending on experience, location, and employer.

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 cities near DeLand, FL are hiring for Credit Risk Data Science jobs? Cities near DeLand, FL with the most Credit Risk Data Science job openings:

Senior Vice President, Credit Risk

BNY

Lake Mary, FL โ€ข On-site

$143K - $190K/yr

Full-time

Posted 16 days ago


Job description

Pershing, LLC seeks Senior Vice President, Credit Risk in Lake Mary, FL, to coordinate risk management efforts for the assigned credit risk focus, such as Credit Analysis & Approval/Portfolio Management, Operational Credit Risk, Country Risk or Credit Administration, and customize solutions for each region using knowledge of best practices and growing industry experience. Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models. Contribute to development of risk management systems. Develop or implement risk-assessment methodologies. Responsible for the accuracy, timeliness and completeness of documentation. Perform Credit Analysis & Approval/Portfolio Management by completing complex analyses of industry, country and counter party credit portfolios and credit portfolio quality. Perform Operational Credit Risk by completing numerous complex credit processing and assessment activities, including credit analysis, underwriting, borrower rating approval and transaction review and approval for intraday credit. Devise scenario analyses reflecting possible severe market events and processes to monitor validity of risk assessments. Develop contingency plans to deal with emergencies. Perform Credit Administration and provide input on the Credit Risk's policies and procedures. Interpret and analyze regulatory requirements that require new or revisions to policy. Contribute to the preparation of credit proposals, preparing documentation, and financial spreads. Document and ensure communication of key risks. Maintain input or data quality of risk management systems. Produce reports or presentations that outline findings, explain risk positions, or recommend changes. Use credit systems such as the credit borrower rating system and credit approval system. Resolve complex system issues and frequently directs the development of credit system best practices. Recommend nuanced policy and procedure improvements. Design remedial solutions and remediation tasks. Contribute to reports on credit quality and asset value changes for the assigned credit discipline. Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions. Meet with clients to answer queries on risk exposure, market scenarios, or values-at-risk calculations. Recommend ways to control or reduce risk. Remote work may be permitted within a commutable distance from the worksite.

REQUIREMENTS: Bachelorโ€™s degree, or foreign equivalent, in Finance, Mathematics, Computer Engineering, or a related field, and ten (10) years of progressively responsible experience in the job offered or in a related occupation in the financial services industry. Ten (10) years of progressively responsible experience must include: Validating simulation based VaR and Stress VaR model calculations by evaluating quality of market data, analyzing pricing and risk impact data, and investigating calculation anomalies; Building automation tools to extract and aggregate data, and streamline risk reporting production; Performing analysis on a large volume of data using Excel, VBA, and SQL; Monitoring the fund portfolios for concentrations, illiquidity, and collateral weakness; Analyzing financial statements including Balance Sheets, Income Statements, and Cash Flow Statements; and Performing margin evaluations for hedge fund and mutual fund clients and prospects.

Qualified applicants please apply online at https://bnymellon.eightfold.ai/careers and utilize reference code #75880. Please indicate โ€œreferral source โ€“ advertisement โ€“ WEB.โ€

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary/range for this position is expected to be $143,250.00 - $190,000.00 per year at the commencement of employment. Base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.ย 

This position is at-will, and the Company reserves the right to modify the base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.ย 

BNY is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans.