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Fintech Risk Management Jobs in Florida (NOW HIRING)

Oversee risk management processes including transaction monitoring, fraud prevention, and sanctions ... Background in fintech, payments, banking, or regulated environments * A track record driving ...

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Our fintech solutions touch nearly every market, company and person on the planet. Our teams are ... Establish and scale a best-in-class Vendor Management capability to drive value realization, risk ...

... management practices Support documentation and visibility of data lineage across modern data ... Legal, Risk, and Compliance teams to align governance practices with regulatory requirements ...

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Risk Management: Detect and mitigate technological risks, ensuring data security and adherence to ... Join us in shaping the future of solar energy with fintech!

Our fintech solutions touch nearly every market, company and person on the planet. Our teams are ... Build team capability across onboarding, adoption, risk management, renewals, and expansion motions

CIO/CTO

Miami, FL

$200K - $400K/yr

Risk Management: Identify and mitigate technological risks, ensuring data security and compliance ... Join us in shaping the future of solar energy with fintech!

Risk Management: Identify and mitigate technological risks, ensuring data security and compliance ... Join us in shaping the future of solar energy with fintech!

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Fintech Risk Management information

What are the key skills and qualifications needed to thrive in the Fintech Risk Management position, and why are they important?

To thrive in Fintech Risk Management, you need strong analytical skills, knowledge of regulatory compliance, and expertise in financial risk modeling, typically supported by a degree in finance, economics, or a related field. Fluency with risk assessment tools, data analytics software (such as SAS, R, or Python), and industry certifications like FRM or CFA is highly valued. Excellent problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and present complex risk assessments clearly. These abilities are crucial for proactively identifying, measuring, and mitigating risks in a dynamic financial technology environment.

What is a Fintech Risk Management job?

A Fintech Risk Management job involves identifying, assessing, and mitigating risks associated with financial technology products and services. This includes areas such as fraud prevention, cybersecurity, regulatory compliance, credit risk, and operational risks. Professionals in this role analyze data, develop risk models, and implement controls to protect financial institutions and customers. They work closely with compliance, legal, and technology teams to ensure that fintech solutions are safe, secure, and in line with industry regulations. The role is critical for maintaining trust and stability in the rapidly evolving fintech landscape.

What are the typical challenges faced by professionals in Fintech Risk Management?

Professionals in Fintech Risk Management often navigate the complex and rapidly evolving landscape of financial regulations and emerging technologies. They must anticipate and mitigate risks related to cybersecurity, fraud, regulatory compliance, and market volatility, all while adapting to new fintech products and services. This requires staying up to date with industry trends, working closely with product development, legal, and IT teams, and designing effective risk mitigation processes. Successfully meeting these challenges not only protects the organization but also opens up opportunities for career advancement into senior risk management or strategic leadership positions.

What are the most commonly searched types of Fintech Risk Management jobs in Florida? The most popular types of Fintech Risk Management jobs in Florida are:
What job categories do people searching Fintech Risk Management jobs in Florida look for? The top searched job categories for Fintech Risk Management jobs in Florida are:
Data Modeler (Data Risk Analyst)

Data Modeler (Data Risk Analyst)

Apex Informatics

Ocoee, FL • On-site

Other

Posted 18 days ago


Job description

Title: Data Modeler (Data Risk Analyst)
Location : Florida Turnpike Enterprise HQ, Ocoee, FL (Onsite - 5 Days)
Roles & Responsibility Summary
This role leads the analysis, implementation, execution and on-going enhancements to business rules based on data analytic findings. Collaborates with the finance, technology, and business teams to ensure effective communication and alignment while identifying opportunities to improve controls and reduce risk.
Key Responsibilities:
  • Develop and implement advanced statistical models and machine learning algorithms to solve complex financial problems.
  • Analyze large and complex financial datasets to identify trends, patterns, and opportunities for increased controls and enhanced risk mitigation.
  • Build predictive data models for risk assessment.
  • Forecast, track, and measure key metrics.
  • Collaborating with IT and finance teams to translate data insights into actionable strategies and initiatives to implement.
  • Staying current on financial industry best practices and emerging risk factors.
  • Conducting regular security audits and penetration testing.
  • Analyzing security incidents and implementing corrective actions.

Requirements:
  • Bachelor's degree in mathematics, computer science, engineering, statistics, fintech or related field.
  • Minimum of 5 years of experience in Financial Services, with a strong focus on data intelligence and analysis.
  • Proven expertise in risk assessment, data analysis technologies and tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.

Preferred Qualifications:
  • Experience in financial services industry retail banking products
  • Experience in data analysis and financial risk management
  • Knowledge of forensic financial auditing techniques.
  • Proficiency in scripting and programming languages (e.g., Python, Bash, SQL)
  • Understanding of network security, encryption and access control principles.
  • Knowledge of machine learning and data analytics.
  • Relevant certifications such as CDA, CRMA or similar are highly desirable.