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Weekend Quantitative Analyst Jobs (NOW HIRING)

Risk Analytics develops market risk analytics, credit risk analytics and scenario analytics models providing quantitative analysis on the Firm's risk exposures. By developing mathematical and ...

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

The Quantitative Analyst will manage and support high-impact research projects, primarily focusing on survey design, consumer data analysis, and the synthesis of quantitative data to inform key ...

Conducts complex analytical studies with collaborative help from others, develops advanced quantitative models, and make strategic recommendations to improve performance, drive cost savings and ...

Wolverine Asset Management is seeking highly motivated and intellectually curious individuals to join our team as Quantitative Analysts. In this role, you will collaborate closely with our relative ...

OVERVIEW: Quants apply mathematical techniques and write software to develop, analyze, and implement statistical models for our computerized financial trading strategies. They utilize their ...

Conducts complex analytical studies with collaborative help from others, develops advanced quantitative models, and make strategic recommendations to improve performance, drive cost savings and ...

Now, we're looking for an Quantitative Analyst to help us push our technology, modeling, and analytics to the next level. If you're excited by fast-changing markets, real-time data, and applying ...

Overview We are seeking a Senior Quantitative Analyst within the Model and Allowance Analysis team. Responsibilities * Participate in developing and implementing credit risk models for the use of ...

We have a vacancy for a Quantitative Analyst to join our US team based in Austin, Texas. This role will predominantly be based on-site in our Austin office. You will be responsible for: Signal ...

Quantitative Analyst

Bellevue, WA · On-site +1

$88K - $104K/yr

Join us as a Quantitative Analyst and help drive the modeling and analytical insights that support critical decisionmaking across the bank. In this role, you'll build and enhance models that guide ...

Quantitative Analyst

Seattle, WA · On-site +1

$88K - $104K/yr

Join us as a Quantitative Analyst and help drive the modeling and analytical insights that support critical decision‑making across the bank. In this role, you'll build and enhance models that guide ...

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Weekend Quantitative Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do weekend quantitative analyst jobs pay per year?

As of Jun 5, 2026, the average yearly pay for weekend quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 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.
More about Weekend Quantitative Analyst jobs
What cities are hiring for Weekend Quantitative Analyst jobs? Cities with the most Weekend Quantitative Analyst job openings:
What are the most commonly searched types of Quantitative Analyst jobs? The most popular types of Quantitative Analyst jobs are:
What states have the most Weekend Quantitative Analyst jobs? States with the most job openings for Weekend Quantitative Analyst jobs include:
Infographic showing various Weekend Quantitative Analyst job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Analyst

Quantitative Analyst

Morgan Stanley

New York, NY • On-site

Full-time

Posted 14 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

38th of 138 rated financial services


Job description

Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Firm Risk Management
Morgan Stanley's Firm Risk Management (FRM) Division is an exciting and rapidly growing space. The division supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.
Background on the Position
The role will reside within the Risk Analytics department in the Firm Risk Management division. Risk Analytics develops market risk analytics, credit risk analytics and scenario analytics models providing quantitative analysis on the Firm's risk exposures. By developing mathematical and statistical models, Risk Analytics calculates the risks associated with specified sets of financial positions and day-to-day operations.
Morgan Stanley is seeking an Associate in its Market Risk Analytics department with focus on Credit asset class. The Market Risk Analytics group develops, maintains, and monitors the performance of market risk (VaR, Stressed VaR, and IRC) and stress testing models for Morgan Stanley's portfolio of assets, as required by regulatory frameworks and the Firm's internal risk management needs. The new hire will join the Market Risk Analytics Credit team to undertake research, analysis, modelling, and implementation of various market risk models pertaining to Credit products to ensure appropriate modelling and capture of risk, regulatory capital calculation, and ongoing compliance with regulatory requirements, including the upcoming Fundamental Review of Trading Book (FRTB). The position will play a key role both in the maintenance of current models and further enhancements as required from time to time. The role will be an opportunity for a candidate who wishes to work on all aspects of a model's lifecycle- Development, Implementation, Testing, Calibration, Internal and Regulatory submission, and Periodic Performance Monitoring.
Primary Responsibilities
>Performing quantitative analysis on various aspects of Market Risk models like VaR, Stressed VaR, Risk Not in VaR for Credit products (e.g. Bonds, CDS, Traded loans, etc.)
>Developing and enhancing models for changing internal risk management needs, new regulatory requirements (e.g., FRTB), or improvements in capturing the risk
>Actively participating in code development for the purpose of model implementation, model performance monitoring, and for performing different analyses
>Analyze, understand, and explain changes in risk metrics driven by model updates and position changes
>Analyzing model performance metrics
>Interacting with stakeholders from various departments like Front Office strategists, Market Risk Managers, Model Risk Management and FRM IT
>Participating in documentation of model methodologies and implementation
>Responding to queries from Model Risk Management, Internal Audit, and regulators Requirements
>Requires a degree in Quantitative Finance, Math, Statistics, Computer Science, Physics, Engineering, Economics or a related field of study (Masters/PhD highly preferred)
>Strong Quantitative skills
>Strong Python coding skills (essential), knowledge of database querying functionalities/languages
>Familiarity with statistical modelling, Monte Carlo, Historical Simulation
>Knowledge of financial products with Credit factors will be preferred
>Two or more years of experience working in a quantitative discipline
>Knowledge and broad interest in financial products, markets, and risk management and regulations
>Strong skills in communication, critical thinking, problem solving, and collaboration
Firm Risk Management values diversity and is committed to providing a supportive and inclusive workplace for all employees.
This role is hybrid and currently requires in office attendance 3 days/week. The in office requirement is subject to change at any time.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $100,000 and $140,000 year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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