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Credit Risk Data Science Jobs in Florida (NOW HIRING)

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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 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 June 2026, with employment types broken down into 28% Full Time, 32% Part Time, 20% Temporary, and 20% Contract. Highlights an 60% In-person, and 40% Hybrid job distribution.

Sr. Analyst, RJF Risk Data & Analytics

Raymondjames

Saint Petersburg, FL • Hybrid

$81K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Job Description Summary

Develops conceptual, logical, and physical data models supporting an organization's structured data resources, including databases, data warehouses, and data marts.

Job Description

Job Summary:

Raymond James is seeking a Senior Analyst with strong analytical and communication skills to bridge the gap between Risk Management and technology. This role is critical in understanding front-line processes, designing data architecture, and collaborating with IT to implement solutions that integrate data across multiple departments. Under limited supervision, you will collaborate across departments, playing a key role in shaping the firm's risk information systems. This position requires exceptional analytical ability, attention to detail, and a deep understanding of financial operations and systems.

Please note: This role is not eligible for immigration Work Visa sponsorship, either currently or in the future.

Essential Duties and Responsibilities:

Advance the business analysis function for Risk Management, ensuring that deliverables meet business needs, comply with enterprise standards, and adhere to regulatory expectations.

Perform Quality Assurance and User Acceptance Testing to validate system functionality and data integrity.

Act as the primary liaison between business stakeholders and IT delivery teams, translating business needs into clear, detailed requirements for systems that store and manage data.

Identify opportunities for process optimization and automation within assigned workflows.

Translate technical findings into clear, compelling narratives for stakeholders through presentations and executive summaries.

Manage multiple priorities and deadlines using effective project management and time-tracking practices.

Knowledge of:

Risk Management principles and practices, including market, credit, and liquidity risk.

Agile methodologies and experience working in iterative design environments.

Analytical tools and platforms: SQL, Excel, Tableau, QlikSense.

Data preparation and cleansing best practices.

Skill in:

Translating complex business objectives into detailed technical documentation.

Extracting and manipulating data from source systems using SQL, Python, or other analysis tools.

Reconciling and validating data from multiple sources to ensure IT solutions deliver required results.

Communicating technical insights effectively through presentations and visual storytelling.

Ability to:

Collaborate with business partners to understand their processes and translate them into requirements for data storage and transformation.

Write technical documentation, requirements, and instructions, then break them into actionable steps.

Adapt quickly to evolving needs and deliver concise, actionable insights under tight timelines.

Work independently and prioritize and manage multiple tasks.

Build and maintain productive relationships with internal and external stakeholders.

Develop and justify data-driven recommendations that consider constraints and potential outcomes.

Education/Previous Experience:

Bachelor's Degree and a minimum of three (3) years of relevant experience in financial services.

OR

Any equivalent combination of education, training and/or experience approved by Human Resources

Education

Bachelor's: Business Administration, Bachelor's: Computer and Information Science, Bachelor's: Finance

Work Experience

General Experience - 3 to 6 years

Certifications

Travel

Less than 25%

Workstyle

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm

At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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