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Entry Level Algorithmic Trading Quant Jobs in New York

Vatic Labs

Quantitative Developer

New York, NY · On-site

$350K/yr

... quant trading, and software engineering? As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly scale state-of-the-art algorithmic trading systems. You ...

Vatic Labs

Quantitative Developer

New York, NY

$350K/yr

... quant trading, and software engineering? As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly scale state-of-the-art algorithmic trading systems. You ...

Wintermute

Prediction Markets Trader

New York, NY · On-site

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... Excellent quantitative and analytical skills - we will test! * Demonstrated interest in prediction ...

Wintermute

Prediction Markets Trader

New York, NY

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... Excellent quantitative and analytical skills - we will test! * Demonstrated interest in prediction ...

Morgan Stanley

Associate, Trading

New York, NY

$175K - $200K/yr

Work closely with the quantitative strategists for algorithm design. Manage risk for client and proprietary trading positions, including monitoring daily exposure and executing portfolio rebalances.

Posted today

PDT Partners

Quantitative Researcher

New York, NY · Hybrid

$190K - $250K/yr

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab ... algorithmic trading business Below is a list of skills and experiences we think are relevant. Even ...

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Entry Level Algorithmic Trading Quant information

What are some common challenges faced by entry level algorithmic trading quants during their first year on the job?

Entry-level algorithmic trading quants often encounter challenges such as adapting to fast-paced environments where quick decision-making and consistent performance are essential. They may need to bridge the gap between academic theory and real-world market behavior, learning to develop, backtest, and refine trading strategies under time constraints. Collaborating with traders, developers, and risk managers is also crucial, requiring strong communication skills to ensure strategies are both technically sound and aligned with business goals. Additionally, staying current with evolving market data and technology platforms is a constant learning curve.

What does an entry level algorithmic trading quant do?

An Entry Level Algorithmic Trading Quant is responsible for developing, testing, and implementing mathematical models and computer algorithms to execute trades in financial markets automatically. They analyze large datasets to identify trading opportunities, optimize trading strategies, and manage risks. Typically, they work closely with senior quants, software engineers, and traders to ensure the performance and reliability of trading systems. Their role often includes coding, statistical analysis, and monitoring live trades to ensure algorithms function as intended.

What are the key skills and qualifications needed to thrive as an entry level algorithmic trading quant?

To thrive as an Entry Level Algorithmic Trading Quant, you need strong quantitative skills, programming proficiency (often in Python or C++), and at least a bachelor's degree in a technical field such as mathematics, computer science, or engineering. Familiarity with data analysis tools, financial modeling software, and version control systems like Git is typically required, and knowledge of financial markets or certifications like CFA can be beneficial. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills that set high performers apart. These competencies enable quants to develop robust trading strategies, identify market opportunities, and collaborate efficiently in a high-stakes, fast-paced environment.

What is the difference between Entry Level Algorithmic Trading Quant vs Quantitative Research Analyst?

AspectEntry Level Algorithmic Trading QuantQuantitative Research Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Math, Stats, or Finance; programming skills
Work EnvironmentTrading firms, hedge funds, financial institutionsResearch labs, financial firms, asset managers
Employer & Industry UsageHigh-frequency trading, algorithmic trading teamsResearch-focused, model development for investments
Comparison Search IntentYesYes

Entry Level Algorithmic Trading Quants focus on developing trading algorithms used in live markets, often working directly with trading desks. Quantitative Research Analysts primarily conduct research to develop models and strategies that inform investment decisions. While both roles require strong quantitative skills and programming knowledge, the Trading Quant emphasizes implementation in trading environments, whereas the Research Analyst emphasizes model development and analysis.

What are the most commonly searched types of Algorithmic Trading Quant jobs in New York? The most popular types of Algorithmic Trading Quant jobs in New York are:
What are popular job titles related to Entry Level Algorithmic Trading Quant jobs in New York? For Entry Level Algorithmic Trading Quant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithmic Trading Quant jobs in New York look for? The top searched job categories for Entry Level Algorithmic Trading Quant jobs in New York are:
Entry Level Algorithmic Trading Quant jobs near you
Infographic showing various Entry Level Algorithmic Trading Quant job openings in New York as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Prediction Markets Trader/Market Maker

Anti Capital

New York, NY • On-site

$100K - $250K/yr

Full-time

PTO

Re-posted 14 days ago

Job description

We are a leading full-stack, high-frequency proprietary trading firm strategically located in New York and Taipei. Our company is equipped with a proprietary, latency-sensitive trading system, state-of-the-art trading algorithms, and a highly efficient execution platform designed to optimize trading strategies across various asset classes. Moreover, we maintain comprehensive access to major exchanges worldwide, allowing us to execute complex trades efficiently and at scale. This global reach, combined with our technological expertise, positions us at the forefront of the financial trading industry.
About the Role:
In this role, you will apply mathematical and quantitative methods to evaluate financial products and markets, identify trading opportunities, and assess risks.Responsibilities:
  • Research prediction markets, protocols, strategies, and manage a sizeable portfolio.
  • Conduct in-depth research on prediction markets.
  • Design and deploy algorithmic trading strategies to the production environment.
  • Expand the automated trading business to new products and venues, and calibrate and fine-tune performance.
  • Provide reporting on daily market sentiment, risk exposure, and P&L.
  • Conduct post-trade analysis of trading strategies and algorithm performance, implement risk mitigation measures, and take responsibility for portfolio and strategy optimization.
Who You Are:
  • STEM Degree from a top college or university.
  • Have a quantitative trading strategy that is currently and consistently profitable on live prediction markets, such as Polymarket or Kalshi (not just in simulations or back-tests).
  • Excellent Return on Capital (ROC) with a proven track record, not just back-test data.
  • Candidates with prior experience at a buy-side trading firm or hedge fund are preferred.
  • Must be able to do hands-on coding in any of the following languages: Rust, C++, Golang, or Python.
General Requirements:
  • Candidates are required to be on-site at the NYC office five days a week.
  • Candidates should expect 2–3 rounds of coding tests, each lasting 2–3 hours.
  • Excellent written and spoken English, any other languages will be a plus.

Benefits: 
  • Highly competitive salary
  • Semi-annual discretionary bonus
  • Relocation assistance if needed
  • 20 days of PTO annually
  • Unlimited sick days
  • Dedicated mentors to accelerate your growth
  • Friendly start-up working environment
  • Fully stocked kitchen
  • Team lunches and dinners
  • Breakfast catering
  • Social events
  • Gym subsidy
  • Opportunity to visit our global offices

$100,000 - $250,000 a year

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