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Credit Risk Data Science Jobs in Florida (NOW HIRING)

Risk Manager I (US)

Jacksonville, FL · On-site

$91K - $136K/yr

  • Medical

  • Retirement

  • PTO

The position is expected work with data vendors such as Credit bureaus to obtain and validate ... scientific or financial background * Excellent written and verbal communication skills

Develop strong business intuition around fraud patterns, risk signals, user behavior, and partner needs, then translate that understanding into practical data science solutions. * Research emerging ...

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building ... Support planning, risk assessments, fieldwork, reporting, and continuous monitoring through ...

Senior Fraud Data Scientist

Miami, FL · On-site

$116.25 - $155/hr

  • Medical

  • Retirement

Partner with data science, risk operations, product, engineering, and customer support teams to integrate fraud prevention into products and services. * Project Management: Oversee initiatives aimed ...

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 Florida?

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

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

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

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

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

Infographic showing various Credit Risk Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AVP, Credit Risk Control

Cantor Fitzgerald Securities

Jacksonville, FL • On-site

Other

Posted 25 days ago


Job description


We are seeking an Assistant Vice President to join our Credit Risk Control function, supporting the firm's broker-dealer's trading activities with Counterparties. This role is central to ensuring the firm's pre-trade and post-trade risk controls comply with SEC Rule 15c3-5 (the Market Access Rule) and internal risk appetite, working closely with Technology, Compliance, and Trading Desk stakeholders.
Responsibilities
  • Own and monitor daily credit and capital thresholds under SEC Rule 15c3-5, including client-level, desk-level, and aggregate market access limits
  • Design, calibrate, and periodically review pre-trade risk controls (order size, notional, price collar, message rate, and erroneous order checks) in coordination with electronic trading and technology teams
  • Investigate limit breaches, exception reports, and control overrides; escalate material issues per governance protocol
  • Partner with Compliance on the annual CEO certification process required under 15c3-5, including documentation of control effectiveness testing
  • Support onboarding of new clients/counterparties by setting risk-based credit limits and market access parameters
  • Monitor counterparty exposure (gross and net), margin/collateral sufficiency, and concentration risk across products
  • Produce regular MI/reporting for senior management, Risk Committee, and regulators (FINRA, SEC) on market access control performance
  • Contribute to control enhancement projects, including automation of limit monitoring and real-time surveillance tooling
  • Stay current on regulatory developments affecting market access, algorithmic trading controls, and broker-dealer risk management
  • Provide Reporting on limit usage, reporting on breaches and escalation to Senior management
Qualifications
  • 3-4 years of experience in credit risk, market risk, or risk control functions at a broker-dealer, bank, or trading firm
  • Direct working knowledge of SEC Rule 15c3-5 and pre-trade risk control frameworks (required)
  • Familiarity with front office Order Management Systems (OMS) and how limit checks integrate with trading workflows (required)
  • Familiarity with FINRA rules related to supervision of algorithmic trading and market access (e.g., Rule 3110, guidance on effective supervisory procedures)
  • Understanding of counterparty credit risk concepts: exposure measurement, margin/collateral, netting, and limit-setting methodologies
  • Experience with electronic trading infrastructure or FIX protocol a plus
  • Strong SQL/Python/Excel/Power BI skills for data analysis and control monitoring
  • Bachelor's degree in Finance, Economics, Mathematics, or related field; relevant certifications (FRM, CFA) a plus
  • Excellent communication skills; ability to work cross-functionally with Trading, Technology, Compliance, and Legal

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