2

Part Time Algorithmic Trading Quant Jobs (NOW HIRING)

Finance Expert

Manhattan, NY · Remote

$60 - $75/hr

... trading, quant, accounting, and others. If you enjoy solving complex problems in finance and are ... Immediate Duration: 1-2 months Commitment: Part-time, 20-40 h/week Schedule: Fully remote and ...

... develop algorithmic trading strategies that outperformed the S&P 500. Overtime, as our shared ... We are looking for a part-time Software Engineer who will assist us with the design, development ...

... develop algorithmic trading strategies that outperformed the S&P 500. Overtime, as our shared ... We are looking for a part-time Software Engineer who will assist us with the design, development ...

... algorithms, performing data analysis on large financial datasets, and building quantitative ... and part-time US employees who work at least 20 hours per week, can be found here: QUALIFIED ...

As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

... Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing ... knowledge of creating algorithms, identifying patterns and insights from structured and ...

next page

Showing results 1-20

Part Time Algorithmic Trading Quant information

See salary details

$52.5K

$119.2K

$196.5K

How much do part time algorithmic trading quant jobs pay per year?

As of Jun 4, 2026, the average yearly pay for part time algorithmic trading quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Algorithmic Trading Quant, and why are they important?

To thrive as a Part Time Algorithmic Trading Quant, you need strong quantitative analysis skills, proficiency in statistics and mathematics, and typically a background in finance, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with trading platforms, and knowledge of machine learning libraries or financial databases are important technical qualifications. Attention to detail, problem-solving ability, and strong communication skills help you stand out in this role. These skills are crucial for developing, implementing, and optimizing trading strategies in fast-paced, data-driven environments where accuracy and adaptability are essential.

What are the typical challenges faced by part-time algorithmic trading quants when balancing project deadlines with market hours?

Part-time algorithmic trading quants often face the challenge of synchronizing their limited working hours with the fast-paced and sometimes unpredictable nature of financial markets. Meeting project deadlines can be particularly demanding, as market opportunities and anomalies may arise outside of their scheduled work times. Effective time management, clear communication with the trading team, and automation of routine tasks are essential for success in this role. Collaborating closely with full-time colleagues and using version control systems can also help ensure smooth project handovers and maintain continuity.

What is a Part Time Algorithmic Trading Quant?

A Part Time Algorithmic Trading Quant is a professional who develops, tests, and implements mathematical models and algorithms to make automated trading decisions, typically working fewer hours than a full-time quant. They use programming, statistical analysis, and financial market knowledge to create strategies that can profit from market movements. Part-time quants may work for hedge funds, proprietary trading firms, or as independent contractors, and their flexible schedule allows them to balance other commitments while contributing to the trading team's goals.

What is the difference between Part Time Algorithmic Trading Quant vs Part Time Quantitative Analyst?

AspectPart Time Algorithmic Trading QuantPart Time Quantitative Analyst
CredentialsTypically requires degrees in Computer Science, Mathematics, or Engineering; programming skills essentialRequires degrees in Finance, Economics, Mathematics; strong analytical skills needed
Work EnvironmentPrimarily in trading firms or hedge funds, focused on developing trading algorithmsIn finance institutions, focusing on data analysis, model development, and risk assessment
Industry UsageCommonly employed in algorithmic trading firms and hedge fundsUsed across investment banks, asset management firms, and financial services

While both roles involve quantitative skills and finance knowledge, the Part Time Algorithmic Trading Quant specializes in developing and implementing trading algorithms, often requiring programming expertise. The Part Time Quantitative Analyst focuses more broadly on financial data analysis and model development without necessarily coding trading systems. Understanding these differences helps candidates target their job search effectively.

More about Part Time Algorithmic Trading Quant jobs
What cities are hiring for Part Time Algorithmic Trading Quant jobs? Cities with the most Part Time Algorithmic Trading Quant job openings:
What are the most commonly searched types of Algorithmic Trading Quant jobs? The most popular types of Algorithmic Trading Quant jobs are:
What states have the most Part Time Algorithmic Trading Quant jobs? States with the most job openings for Part Time Algorithmic Trading Quant jobs include:
What job categories do people searching Part Time Algorithmic Trading Quant jobs look for? The top searched job categories for Part Time Algorithmic Trading Quant jobs are:
GBM - Quantitative Research / QIS Product Development, VP - NY

GBM - Quantitative Research / QIS Product Development, VP - NY

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Posted 15 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

Job Description
Quantitative Research / QIS Product Development
Level: Vice President
Location: New York
Division: Equities & FICC - Systematic Trading Strategies (STS)
Team: STS Product Development
BUSINESS SEGMENT AND ROLE OVERVIEW
Equities & FICC: We make markets in and clear client transactions on major stock, options and futures exchanges worldwide. Through our global sales force, we maintain relationships with our clients, receiving orders and distributing investment research, trading ideas, market information and analysis.
Systematic Trading Strategies ("STS") sits within the Equities & FICC division. STS / QIS focuses on designing and implementing quantitative investment strategies (QIS) and customized investment solutions for a broad range of financial institutions - including sovereign wealth funds, pensions, insurance firms, and private banks - as well as retail distribution channels.
The STS Product Development team specializes in the design and research of quantitative investment strategies to solve complex investment challenges in the quantitative investment space across institutional clients and indirect retail distribution channels. The team's toolkit spans equity derivatives - including index and single-name options, variance swaps, and OTC instruments - as well as linear systematic strategies, alternative data, and quantitative modeling techniques.
The team is seeking a professional in Quantitative Research / Product Development to contribute to the research, development, and commercialization of systematic strategies spanning linear and non-linear products for institutional clients and indirect retail distribution channels. This role requires quantitative expertise, hands-on experience with alternative data and machine learning, practical coding skills, and the ability to collaborate with sales, trading, quantitative strategists, and legal teams. The successful candidate will help accelerate the growth of the business by participating in the execution of the strategic business plan from both a product development and trade execution perspective - balancing strong technical capabilities with commercial acumen.
RESPONSIBILITIES
  • Research and develop new systematic trading strategy ideas across linear and non-linear strategies, leveraging derivatives, alternative data, and machine learning techniques.
  • Collaborate with sales and clients to design customized investment solutions across institutional and retail distribution channels.
  • Implement strategies in coordination with trading, quantitative strats, and legal teams to ensure accurate and efficient execution.
  • Work on trade execution, initially of vanilla transactions, growing into more complex structures as expertise is developed.
  • Prepare marketing content and presentation materials; engage with sales and clients to demonstrate capabilities and originate new business.
  • Document and maintain systematic strategies and indices for investors.
  • Build tools (e.g., Python) to support research workflows, business metrics, and platform efficiency.

BASIC QUALIFICATIONS
  • Advanced degree (MS/PhD) in a quantitative field (e.g., applied/financial mathematics, statistics, engineering, computer science, or machine learning).
  • Minimum 3 years of relevant experience in quantitative investments, structuring, or trading, preferably with a focus on QIS / systematic strategies.
  • Demonstrated hands-on experience with alternative data and machine learning / statistical learning methods applied to investment problems.
  • Proficiency in Python; experience with additional languages (e.g., C++, R) is a plus.
  • Strong understanding of market structure and behavior, with motivation to translate research into commercial impact and high standards for work quality.

PREFERRED QUALIFICATIONS
  • Prior experience in a QIS or systematic trading strategies role at a sell-side or buy-side institution.
  • Experience working across institutional and retail product distribution, including familiarity with FIA and other retail channels.
  • Familiarity with equity volatility products (variance swaps, dispersion, gamma, skew, and carry strategies).
  • Track record of developing strategies that have been commercialized and traded.
  • Ability to work across functions - sales, trading, quant strats, legal - to bring a product from concept to execution.
  • Excellent communication and presentation skills; organized with strong attention to detail.

Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$300000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869