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Weekend Quantitative Analyst Jobs in Florida (NOW HIRING)

Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications: * Bachelor's degree in ...

Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications: * Bachelor's degree in ...

Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications: * Bachelor's degree in ...

2026 Summer Internship

Miami, FL · On-site

$14.25 - $17.25/hr

An intern in this group will be responsible for performing qualitative and quantitative analysis ... Evening or weekend work may be necessary to meet deadlines. This description outlines the basic ...

2026 Summer Internship

Miami, FL

$14.25 - $17.25/hr

An intern in this group will be responsible for performing qualitative and quantitative analysis ... Evening or weekend work may be necessary to meet deadlines. This description outlines the basic ...

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Weekend Quantitative Analyst information

What are the typical responsibilities of a Weekend Quantitative Analyst, and how does the work differ from weekday roles?

As a Weekend Quantitative Analyst, your main responsibilities typically include real-time data analysis, monitoring market movements, and supporting trading teams during weekend trading sessions. Unlike weekday roles that may focus more on research or strategy development, weekend analysts often prioritize immediate problem-solving and rapid response to market events. Collaboration is usually remote, with communication channels open to traders and risk managers who require timely insights. This role is ideal for individuals seeking flexibility while still contributing to critical decision-making processes in financial institutions.

What is a Weekend Quantitative Analyst?

A Weekend Quantitative Analyst is a professional who applies mathematical and statistical techniques to analyze data and solve financial or business problems, specifically during weekends. They often work for financial institutions, investment firms, or consulting companies, focusing on tasks such as modeling, risk analysis, and data interpretation. This role may involve supporting trading activities, conducting research, or testing algorithms outside of regular weekday hours. Weekend Quantitative Analysts help organizations maintain continuous operations and respond to market changes that occur over weekends. Strong skills in mathematics, programming, and data analysis are essential for success in this position.

What is the difference between Weekend Quantitative Analyst vs Part-Time Quantitative Analyst?

AspectWeekend Quantitative AnalystPart-Time Quantitative Analyst
CredentialsTypically requires a degree in finance, mathematics, or related field; certifications like CFA are commonSimilar educational background; certifications optional but beneficial
Work EnvironmentUsually works during weekends or specific days, often in financial firms or hedge fundsFlexible hours, often in the same environments as weekend analysts
Employer & Industry UsageUsed by hedge funds, asset managers, and financial institutions for weekend analysisCommon across financial firms for flexible, part-time support roles

The main difference between a Weekend Quantitative Analyst and a Part-Time Quantitative Analyst lies in their work schedule. Weekend analysts specifically work during weekends, while part-time analysts may have flexible hours throughout the week. Both roles require similar skills and credentials, and are used in comparable financial environments to support quantitative research and analysis.

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

To thrive as a Weekend Quantitative Analyst, you need strong quantitative analysis skills, proficiency in statistics, and a degree in mathematics, finance, or a related field. Familiarity with programming languages like Python or R, statistical modeling tools, and data visualization platforms is typically required. Exceptional problem-solving abilities, attention to detail, and effective time management set top performers apart in this role. These skills and qualities are crucial for accurate data-driven insights and timely financial decision-making, especially during critical weekend market hours.
What are the most commonly searched types of Quantitative Analyst jobs in Florida? The most popular types of Quantitative Analyst jobs in Florida are:
What are popular job titles related to Weekend Quantitative Analyst jobs in Florida? For Weekend Quantitative Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Weekend Quantitative Analyst jobs in Florida look for? The top searched job categories for Weekend Quantitative Analyst jobs in Florida are:
What cities in Florida are hiring for Weekend Quantitative Analyst jobs? Cities in Florida with the most Weekend Quantitative Analyst job openings:
Quantitative Analyst (Hybrid-Miami Lakes)

Quantitative Analyst (Hybrid-Miami Lakes)

BankUnited

Miami Lakes, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

70th 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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