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Quantitative Risk Manager Jobs in Miami, FL (NOW HIRING)

Role Overview We are seeking a highly analytical Quantitative Analyst (full-time) to join our ... Hands-on experience in asset allocation, manager selection, and risk management * Exposure to ...

New

Bachelor's degree in a highly quantitative field (Data Science/Analytics, Math/OR/Stats, Economics) required; Advanced degree preferred. * Minimum of 2 years of direct experience in Risk Management ...

Quantitative and analytical skills with a demonstrated ability to understand new analytical concepts. * Knowledge and application of risk management frameworks. * Knowledge in risk assessment ...

Manage and monitor trading risk in real-time * Develop and refine strategies for both existing and ... Build and back test quantitative models and strategies * Collaborate with traders and developers to ...

Manage and monitor trading risk in real-time * Develop and refine strategies for both existing and ... Build and back test quantitative models and strategies * Collaborate with traders and developers to ...

Communicates status of schedule and key risk areas to members of project management team. * Performs schedule risk analysis, including quantitative risk analysis. * Performs schedule analysis to ...

Scheduler III

Miami, FL ยท On-site

Communicates status of schedule and key risk areas to members of project management team. * Performs schedule risk analysis, including quantitative risk analysis. * Performs schedule analysis to ...

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Quantitative Risk Manager information

See Miami, FL salary details

$49.3K

$106.7K

$162.6K

How much do quantitative risk manager jobs pay per year?

As of Jun 27, 2026, the average yearly pay for quantitative risk manager in Miami, FL is $106,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,100.00 and $123,400.00 per year, depending on experience, location, and employer.

Is quantitative risk management in demand?

Quantitative risk management is in high demand across financial services, insurance, and investment firms due to increasing regulatory requirements and the need for sophisticated risk assessment tools. Professionals in this field with skills in data analysis, statistical modeling, and programming are sought after, especially those with certifications like FRM or CFA. The role often involves using software such as Python, R, or MATLAB to develop risk models and monitor financial exposures.

How does a Quantitative Risk Manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is the salary of quant Risk Manager?

The salary of a Quantitative Risk Manager typically ranges from $100,000 to $200,000 annually, depending on experience, location, and the size of the organization. Senior roles or those in major financial hubs can earn higher compensation, often including bonuses and performance incentives.

How much do quant risk managers make?

Quantitative risk managers typically earn a median salary ranging from $100,000 to $150,000 annually, with experienced professionals in major financial centers earning over $200,000. Compensation often includes bonuses and depends on factors such as experience, education, certifications, and the complexity of the risk models managed.

What is a quantitative Risk Manager?

A quantitative risk manager is a professional who uses mathematical models, statistical analysis, and programming skills to identify, assess, and mitigate financial risks within an organization. They often work with tools like Excel, R, or Python and require strong knowledge of finance, mathematics, and risk management frameworks. Their goal is to help firms make data-driven decisions to minimize potential losses and ensure regulatory compliance.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are popular job titles related to Quantitative Risk Manager jobs in Miami, FL? For Quantitative Risk Manager jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Miami, FL look for? The top searched job categories for Quantitative Risk Manager jobs in Miami, FL are:
What cities near Miami, FL are hiring for Quantitative Risk Manager jobs? Cities near Miami, FL with the most Quantitative Risk Manager job openings:
Infographic showing various Quantitative Risk Manager job openings in Miami, FL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,697 per year, or $51.3 per hour.
Quantitative Analyst

Quantitative Analyst

Insigneo

Miami, FL โ€ข On-site

Other

Posted 2 days ago


Job description

AC Global Investment Partners is a boutique investment advisory and wealth management practice serving ultra-high-net-worth families, single-family offices, and institutional clients, with offices in New York and Miami. AC Global Investment Partners is the โ€œdoing business as entityโ€ through which Lisandro Chanlatte, an Investment Professional (IP) of Insigneo Securities, LLC (โ€œISECโ€) and Insigneo Advisory Services, LLC (โ€œIASโ€), and Carlos Asilis, an IP of IAS, conduct their securities and investment advisory activities. AC Global Investment Partners is not itself a broker dealer or an investment advisor and is not under common ownership with ISEC or IAS. The firm operates across OCIO advisory and active global investment strategies spanning equities, fixed income, alternatives, precious metals, and thematic investing.


Role Overview

We are seeking a highly analytical Quantitative Analyst (full-time) to join our investment team. This is a distributed team environment โ€” team members operate across locations, primarily New York and Miami. The role supports quantitative research and portfolio construction across global equities, fixed income, precious metals, alternatives, and macro-driven thematic strategies.


Job Responsibilities/Main Function

  • Build data pipelines and analytics tools (Python/R)
  • Perform portfolio optimization and asset allocation analysis
  • Monitor portfolio risk exposures
  • Support investment due diligence and backtesting
  • Retrieve monthly account statements and consolidate client positions across custodians
  • Reconcile portfolios against internal systems (primarily Orion)


What You Will Build

  • Macroeconomic dashboards and risk-factor models
  • Portfolio optimization and attribution tools
  • Automated data pipelines (Bloomberg, Morningstar, APIs)
  • Backtesting frameworks and AI-powered research workflows


Job Requirements (Education, Experience, Skills, and Capabilities)

  • Bachelorโ€™s or Masterโ€™s degree in a highly quantitative field (Finance, Financial Engineering, Data Science, Mathematics, Statistics, Computer Science, or related discipline)
  • Strong academic record demonstrating quantitative and analytical rigor
  • Experience with financial data sources specifically Bloomberg
  • Strong Python programming skills preferred (Pandas, NumPy, SciPy, Scikit-Learn, Plotly)
  • Experience with SQL and working with complex datasets or APIs
  • Exposure to machine learning techniques, predictive analytics, large language models, or alternative data applications in investment research, preferred


Professional Development & Licensing

  • Progress toward, or willingness to pursue, industry certifications such as the CFA (Chartered Financial Analyst) or relevant securities licenses is encouraged.
  • The role provides exposure aligned with long-term development in investment management, portfolio construction, and advisory functions


What You Will Gain

  • Direct exposure to institutional portfolio management
  • Experience working with ultra-high-net-worth families and family offices
  • Participation in investment committee discussions
  • Hands-on experience in asset allocation, manager selection, and risk management
  • Exposure to global macroeconomic research and thematic investing
  • Opportunity to contribute directly to investment decisions and client outcomes