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Weekend Quantitative Analyst Jobs in Wisconsin (NOW HIRING)

Analyze quantitative inputs such as financial results, trends, market data, and operational metrics and translate into clear storylines, implications, and recommended actions. * Develop structured ...

Analyze quantitative inputs such as financial results, trends, market data, and operational metrics and translate into clear storylines, implications, and recommended actions. * Develop structured ...

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Identify trends, risks, and opportunities using quantitative and qualitative data * Define and ... Review and improve analytical work for accuracy and clarity * Mentor junior analysts and support ...

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

Excellent quantitative and analytical skills. * Ability to effectively communicate verbally or in ... Ability to work nights and/or weekends as needed. * Ability to work overtime, as needed. * Ability ...

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Excellent quantitative and analytical skills. Ability to effectively communicate verbally or in ... Ability to work nights and/or weekends as needed. Ability to work overtime, as needed. Ability to ...

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Weekend Quantitative Analyst information

See Wisconsin salary details

$57K

$135.1K

$242.2K

How much do weekend quantitative analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for weekend quantitative analyst in Wisconsin is $135,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $146,900.00 per year, depending on experience, location, and employer.

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 Wisconsin? The most popular types of Quantitative Analyst jobs in Wisconsin are:
What are popular job titles related to Weekend Quantitative Analyst jobs in Wisconsin? For Weekend Quantitative Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Weekend Quantitative Analyst jobs in Wisconsin look for? The top searched job categories for Weekend Quantitative Analyst jobs in Wisconsin are:
Infographic showing various Weekend Quantitative Analyst job openings in Wisconsin as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $135,129 per year, or $65 per hour.

Vice President - Front Office Quantitative Analytics (Latin America Rates & FX)

Santander

Madison, WI

Full-time

Posted 17 days ago


Job description

Vice President - Front Office Quantitative Analytics (Latin America Rates & FX)Country: United States of America

It Starts Here:

Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities We Want to Talk to You!

The Difference You Make:

We are seeking a talented and motivated Front Office Quantitative Analyst to join our New York Quant team supporting the Latin America Rates and FX business. This role sits at the intersection of quantitative research, technology, and trading, with responsibility for developing, implementing, and maintaining pricing, risk, and market analytics for linear interest rate and foreign exchange products across local and offshore Latin American markets.

As part of a global Quant team, you will contribute to the build-out of a modern quantitative framework, working on next-generation pricing libraries while supporting and enhancing existing production systems. This is a unique opportunity to help shape a scalable, high-performance quantitative ecosystem while partnering directly with Trading, Sales, Structuring, Risk, and Technology teams to support one of the firm's core Latin America franchises.

Key Responsibilities

  • Develop, enhance, and maintain pricing and risk analytics for linear interest rate and FX products, including interest rate swaps, cross-currency swaps, FX forwards/NDFs, sovereign bonds, repos, and money market instruments.
  • Design and enhance multi-curve construction frameworks for discounting, forwarding, collateral, and cross-currency basis across developed and Latin American markets.
  • Develop quantitative models and market data infrastructure supporting local and offshore Latin American markets, including BRL, MXN, CLP, COP, PEN, and other regional currencies as applicable.
  • Contribute to the development of the firm's next-generation quantitative library in Rust and its Python APIs for front-office applications.
  • Maintain and enhance existing C++ pricing libraries while driving the migration toward modern, scalable architectures.
  • Design and extend APIs that enable efficient integration across pricing, risk, and trading platforms.
  • Develop pricing, risk management, and market-making tools used directly by Sales and Trading in daily decision-making.
  • Incorporate FX dynamics including funding, collateral, cross-currency basis, offshore liquidity, and local market conventions into pricing and risk analytics.
  • Optimize numerical methods and improve the performance, robustness, scalability, and reliability of pricing and risk calculations.
  • Investigate pricing and risk discrepancies, perform root-cause analysis, and deliver robust solutions within business timelines.
  • Partner closely with traders and structurers to develop new pricing methodologies, improve risk analytics, and support new product initiatives.
  • Contribute to testing frameworks, model validation, production monitoring, and quantitative governance standards.
  • Document quantitative methodologies, model assumptions, and system architecture for internal stakeholders.
  • Collaborate closely with Trading, Sales, Structuring, Risk Management, and Technology teams across global locations.
  • Support the strategic transformation of the quantitative platform by promoting best practices in software engineering, architecture, testing, and code quality.

What You Bring:

  • Approximately 3+ years of experience in Front Office Quantitative Analytics, Quantitative Development, Financial Engineering, or related roles supporting trading businesses.
  • Proven experience developing pricing models, market data frameworks, and curve construction methodologies for interest rate and FX products.
  • Experience supporting production trading environments and working directly with Front Office stakeholders.
  • Experience with Latin American markets, emerging market rates, offshore trading environments, or cross-currency products is highly desirable

Technical Skills

Programming

  • Strong programming skills in Python and modern C++.
  • Experience with Rust or a strong interest in developing production-quality systems in Rust.
  • Experience designing APIs and integrating quantitative libraries into front-office applications.
  • Familiarity with Linux, Git, CI/CD workflows, and modern software development practices.

Quantitative Knowledge

Strong understanding of:

  • Yield curve construction and multi-curve frameworks.
  • Bootstrapping, interpolation, discounting, and forwarding methodologies.
  • Pricing and risk management of linear interest rate products.
  • FX forwards, NDFs, cross-currency swaps, and cross-currency basis.
  • OIS discounting, collateral, funding, and valuation adjustments relevant to front-office pricing.
  • Numerical optimization techniques and computational methods.

Preferred Experience

Experience with one or more of the following is considered a plus:

  • Quantitative libraries such as QuantLib or similar analytics frameworks.
  • Bloomberg, Murex, Summit, or other front-office trading platforms.
  • Performance optimization, parallel computing, and scalable distributed systems.
  • Automated testing frameworks, model validation, and production monitoring.

Soft Skills

  • Strong analytical and problem-solving abilities with a hands-on, ownership mindset.
  • Ability to perform effectively in a fast-paced Front Office trading environment.
  • Excellent communication skills with the ability to explain complex quantitative concepts to technical and non-technical stakeholders.
  • Collaborative approach with the ability to work effectively across Trading, Technology, Risk, and Structuring teams.
  • Demonstrated ability to balance quantitative rigor with pragmatic solutions that deliver business value.


Education:

  • Master's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
  • PhD: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Preferred

Certifications:

  • Professional certifications such as CQF or FRM are a plus.

It Would Be Nice For You To Have:

  • Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

What Else You Need To Know:

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Base Pay Range:

Minimum:

$225,000.00 USD

Maximum:

$255,000.00 USD

We Value Your Impact:

Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide (foleon.com)

Risk Culture:

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

EEO Statement:

At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.
Working Conditions:

Frequent minimal physical effort such as sitting, standingand walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.

Employer Rights:

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.

What To Do Next:

If this sounds like a role you are interested in, then please apply.

We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs.