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Trading Strategy Developer Jobs in Boston, MA (NOW HIRING)

Aptiv

Associate Strategy

Boston, MA · On-site

... engineered components for new applications Current platforms - Driving profitable growth with a ... and trading / transaction comps * Demonstrated proficiency with large datasets and advanced ...

Aptiv PLC

Associate Strategy

Boston, MA · On-site

... engineered components for new applications Current platforms - Driving profitable growth with a ... and trading / transaction comps * Demonstrated proficiency with large datasets and advanced ...

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All JobsTrading Strategy Developer JobsTrading Strategy Developer Jobs in Boston, MA

Trading Strategy Developer information

See Boston, MA salary details

$60.3K

$135.4K

$236.3K

How much do trading strategy developer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for trading strategy developer in Boston, MA is $135,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $171,100.00 per year, depending on experience, location, and employer.

What does a Trading Strategy Developer do?

A Trading Strategy Developer designs, tests, and implements algorithms or systems that facilitate automated trading in financial markets. They analyze market data, identify trading opportunities, and use programming languages to create models that can execute trades based on predefined rules. Their work involves backtesting strategies to ensure efficiency and robustness before deploying them in live markets, and they often collaborate with quantitative analysts and other finance professionals to optimize trading performance.

What are the key skills and qualifications needed to thrive as a Trading Strategy Developer, and why are they important?

To thrive as a Trading Strategy Developer, you need a solid background in quantitative analysis, financial markets, and programming—often supported by a degree in math, finance, computer science, or engineering. Expertise with programming languages such as Python, C++, and platforms like MATLAB, as well as familiarity with trading systems and backtesting frameworks, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively set top performers apart. These abilities are crucial for designing robust, profitable strategies that perform reliably in dynamic and competitive trading environments.

What is the difference between Trading Strategy Developer vs Quantitative Analyst?

AspectTrading Strategy DeveloperQuantitative Analyst
CredentialsTypically requires degrees in finance, computer science, or mathematics; certifications like CFA or CQF are commonSimilar credentials; often holds advanced degrees in finance, mathematics, or statistics; CFA is also common
Work EnvironmentWorks in trading firms, hedge funds, or financial institutions focusing on developing and implementing trading algorithmsWorks in finance, investment banks, or asset management firms analyzing data to inform investment decisions
Primary FocusDesigning, testing, and optimizing trading strategies and algorithmsAnalyzing financial data, modeling markets, and developing quantitative models for investment strategies

While both roles require strong quantitative skills and similar educational backgrounds, Trading Strategy Developers focus on creating and deploying trading algorithms, whereas Quantitative Analysts primarily analyze data and develop models to support investment decisions. Their work environments often overlap, but their core responsibilities differ in application and focus.

What are some common challenges faced by Trading Strategy Developers when implementing new algorithms in live markets?

Trading Strategy Developers often encounter challenges such as managing slippage, latency, and unexpected market conditions when deploying new algorithms. Backtested strategies may not always perform as expected in live environments due to differences in data quality, execution speed, and market microstructure. Close collaboration with quantitative researchers, software engineers, and risk managers is essential to monitor performance, make real-time adjustments, and ensure compliance with trading regulations. Addressing these challenges proactively is key to maintaining robust, profitable strategies.
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Trading Strategy Developer jobs near you
Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Domeyard LP

Boston, MA • On-site

Full-time

Re-posted 8 days ago

Job description

Company Description
Domeyard, LP is a quantitative hedge fund startup based in Boston, Massachusetts. We focus on developing low latency technologies to achieve extremely consistent, long-term capital growth enabling us to save millions of dollars for market investors each year. Our trading strategies are derived from the latest advances in high-performance computing and data analysis, making us one of the fastest market participants in the world. Domeyard operates around the clock, trading a diverse range of asset classes, including equities, futures, fixed income instruments, energy products and commodities. Innovation is our main differentiator: on any given day, we process more order messages than Google searches and Twitter messages combined. Our continuous pursuit of improvement to our technology enables us to uncover opportunities that are grossly inaccessible to mainstream fund managers and their investment vehicles. For its notable role in the industry, Domeyard is also the protagonist of Harvard Business School's first case study about high frequency trading.
Job Description
Bonus! Apply through our website: http://grnh.se/83ospm
Bridging Mathematics and Low-Latency Trading
Domeyard is seeking a Quantitative Researcher with significant experience in developing low latency statistical arbitrage or market making strategies. You will be joining the core of a company with a single, monolithic HFT team. The ideal candidate is someone who is intellectually curious and loves solving mathematical problems - you might have considered pursuing an academic career at some point and you are looking at this job posting because you are enticed by the fast feedback loop in our field.
What you'll be doing:
  • Building low latency liquidity taking or market making strategies from end-to-end.
  • Developing mathematical models to solve difficult stochastic problems.
  • Analyzing convergence and boundedness properties of algorithms and estimates.
  • Translating your models to fast computational methods.
  • Collaborating with researchers and developers to implement all of the above.

You must meet both of these minimum requirements:
  • 3+ years work experience in high-frequency trading at a leading hedge fund or proprietary trading firm.
  • Experience with direct responsibility in construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.

Qualifications
In addition, here are some of the attributes that we're looking for:
  • History of peer-reviewed publications in optimization, algorithms, statistics, numerical analysis, signal processing, operations research, or a related field.
  • Graduate-level degree in any scientific, mathematical or engineering discipline.
  • Programming experience with C++ in a UNIX-based environment.
  • Experience using data analysis tools in Python or R.
  • Intense passion for solving quantitative problems.
  • Recent track record with low variance in PnL at high % of ADV.
  • Working familiarity with low latency architecture.
  • Knowledge in futures, cash equities or cash FX markets.

Additional Information
***IMPORTANT: Please apply via the link below (takes <5 minutes)***
http://grnh.se/83ospm

Apply