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Quantitative Analyst Jobs in Florida (NOW HIRING)

Verition Group LLC

Equity L/S Desk Quant Analyst

Miami, FL · On-site

$150K - $200K/yr

You will work on both sides of the business: quantitative analysis of investment performance and portfolio construction, and quantitative analysis applied to the strategic and operational questions ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team. This is an ideal opportunity for ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team. This is an ideal opportunity for ...

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All JobsQuantitative Analyst JobsQuantitative Analyst Jobs in Florida

Quantitative Analyst information

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$42.2K

$100K

$179.3K

How much do quantitative analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for quantitative analyst in Florida is $100,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $108,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

What Does a Quantitative Analyst Do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

Is a quant analyst high paying?

Quantitative analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit-sharing, especially in financial firms and hedge funds. Experience, education, and technical proficiency influence earning potential significantly.

How does a Quantitative Analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What are Quantitative Analysts?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, to develop models for trading, risk management, and investment strategies. Candidates typically need strong backgrounds in mathematics, programming, and finance, with skills in tools like Python, R, or MATLAB. The firm offers roles across various divisions, including investment banking and asset management.

What do you do as a quantitative analyst?

A quantitative analyst, or quant, develops mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify trends, assess risks, and optimize portfolios in finance or trading environments.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

Will AI replace quant analysts?

AI is transforming quantitative analysis by automating data processing and modeling tasks, but it is unlikely to fully replace quant analysts. Instead, AI tools are expected to augment their work, requiring analysts to develop skills in programming, machine learning, and data interpretation to stay relevant in the evolving field.
More about Quantitative Analyst jobs
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What job categories do people searching Quantitative Analyst jobs in Florida look for? The top searched job categories for Quantitative Analyst jobs in Florida are:
What cities in Florida are hiring for Quantitative Analyst jobs? Cities in Florida with the most Quantitative Analyst job openings:
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Quantitative Analyst jobs near you
Infographic showing various Quantitative Analyst job openings in Florida as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $100,045 per year, or $48.1 per hour.
Quantitative Analyst (Hybrid-Miami Lakes)

Quantitative Analyst (Hybrid-Miami Lakes)

BankUnited

Miami Lakes, FL • On-site

Full-time

Posted 26 days ago

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

71st of 170 rated banks

Job description

SUMMARY: Reporting to the Allowance for Credit Losses Manager, the Analyst will be part of a dynamic team of talented professionals whose task is to manage and maintain the credit risk models used to identify and manage credit risk, provide insight into the drivers of expected loss, and to produce the allowance for credit losses estimate (ACL). The Analyst uses a combination of quantitative, modeling, project coordination, communication, and technical reporting skills to produce the ACL estimate and model performance monitoring and add value to the organization by enhancing our credit risk modeling and losses estimation, monitoring, and reporting capabilities.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
  • Assist with the Credit Risk model Ownership and become an experienced user of third-party vendor credit loss models for CRE, C&I, and Residential loans. This includes periodic analytical review of model performance and updates, as well as, maintaining internal model documentation consistent with internal and regulatory expectations.
  • Advance and refine our use of Moody's CMM, RiskCalc, and MPA models. This includes using Moody's models and leveraging external and internal data to drive improvements in credit risk accuracy and utilizing the outputs to further backtesting, credit risk attribution, and reserving initiatives.
  • Run and execute credit models to produce estimates and behaviors of credit risk (PD & LGD) for purposes of ACL estimation, business plan forecasting and other needs.
  • Develop proficiency in third-party vendor reserve calculation engine (Evolv), including in- depth knowledge of calculation logic and business rules. Perform periodic calculation runs, testing/debugging and report building.
  • Compile quarterly ACL documentation for executive management and internal and external auditor consumption, including methodology and quarterly results memo documents.
  • Compile and present quarterly current economic assessment package for review and challenge by the Economic Forecast Committee.
  • Conduct interactive discussions with credit model experts, data scientists, accounting, credit and other key stakeholders to refine and improve ACL estimation and credit model performance efforts and other initiatives.
  • Work closely with both internal and external auditors to assist in understanding of ACL methodology, credit model assumptions, quarterly results, data ETL process and ASC 326-20 (CECL) application.
  • Present quarterly results and other ad-hoc decisions to executive management and other key stakeholders for challenge and review.
  • Periodic reporting on ACL and models performance. This includes report generation in a wide variety of formats including but not limited to Tableau dashboards, Microsoft Excel report, PowerPoint presentations and Microsoft Word reports, on a periodic as well as ad-hoc basis.
  • Drive the automation of modeling routines as well as report and dashboard generation in a manner that drives consistency, accuracy and repeatability in reporting.
  • Work closely with the data and technology teams to improve the data infrastructure needed to support the above initiatives.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

EDUCATION
Degree in a quantitative discipline (eg Statistics, Finance, Mathematics, Engineering, Economics) required
EXPERIENCE
  • 1+ years' experience in financial services (banking, asset management, insurance, etc) with some direct exposure to analytics and/or modeling applied to finance and risk
  • Experience in using MS Office products, particularly Excel, Word, and PowerPoint required
  • Experience in creating and generating reports using Tableau preferred
  • Experience with programming languages, particularly Python preferred
  • Experience with general statistical and quantitative modeling techniques required
  • Experience utilizing and merging data from a variety of databases required

CERTIFICATES, LICENSES, REGISTRATIONS
  • CFA, PRM, FRM a plus

KNOWLEDGE, SKILLS AND ABILITIES
  • Able to understand credit risk (e.g., PD, LGD) and cash flow calculations and mechanics.
  • Able to use this understanding to interpret and discover inconsistencies in credit risk results and to provide insight into the credit risk outputs and enhance the modeling capabilities of the team
  • Strong communication skills (both verbal and written) with the ability to articulate complex concepts into a format digestible by a diverse audience
  • Strong interpersonal skills to aid in working with different divisions within the company
  • Ability to work under pressure, meet deadlines, manage competing initiatives, and adapt to an ever-changing work pace with a focus on accuracy and attention to detail

ADDITIONAL INFORMATION
  • Candidates residing in locations within BankUnited's footprint may be given preference.

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