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Algorithmic Trading Jobs in Massachusetts (NOW HIRING)

Senior Systems Engineer

Framingham, MA · On-site

$107K - $147K/yr

... algorithms, embedded systems, acoustics, cloud-connected experiences, and mobile applications. * Use model-based and analytical approaches to evaluate alternatives, guide trade-off decisions, and ...

Senior Systems Engineer

Framingham, MA · On-site

$107K - $147K/yr

... algorithms, embedded systems, acoustics, cloud-connected experiences, and mobile applications. * Use model-based and analytical approaches to evaluate alternatives, guide trade-off decisions, and ...

Showing results 41-60

Algorithmic Trading information

See Massachusetts salary details

$81.4K

$93.6K

$102.7K

How much do algorithmic trading jobs pay per year?

As of Aug 14, 2026, the average yearly pay for algorithmic trading in Massachusetts is $93,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $99,400.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.

What are the most commonly searched types of Algorithmic Trading jobs in Massachusetts?

The most popular types of Algorithmic Trading jobs in Massachusetts are:

What cities in Massachusetts are hiring for Algorithmic Trading jobs?

Cities in Massachusetts with the most Algorithmic Trading job openings:

Infographic showing various Algorithmic Trading job openings in Massachusetts as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $93,649 per year, or $45 per hour.

RF Systems Architect - Control Algorithms

Apple

Waltham, MA

$116K - $203K/yr

Full-time

Medical, Dental, Retirement

Re-posted yesterday


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

At Apple, our work is dedicated to creating products that connect and enrich people's lives. The Cellular RF Systems Engineering team sits at the very core of that mission, defining the wireless technologies that enable seamless experiences for hundreds of millions of users worldwide.
We are looking for a passionate engineer to design the intelligent control algorithms that orchestrate our RF Front-End hardware. By translating complex 5G and 6G use cases into optimized RF hardware control strategies, you will directly balance RF performance, power consumption, and thermal limits to deliver a world-class wireless experience.
Description
In this role, you will be responsible for the optimal interaction between our RF transceivers and RF Front-End modules. Your primary focus will be breaking down advanced cellular capabilities, such as SRS antenna switching, MIMO and Multi-SIM, into clear system requirements and concrete control flows. This is a highly collaborative role where you will partner with diverse engineering teams across the entire cellular stack to bring these cutting-edge concepts into our next-generation cellular products.","responsibilities":"Analyze complex cellular radio access use cases and specify the required RF hardware control algorithms.
Develop optimization strategies that maximize RF performance and hardware utilization for demanding scenarios like multi-SIM.
Author comprehensive system architecture specifications to guide design, implementation, and validation teams.
Drive end-to-end system performance by collaborating tightly with baseband, SoC, RF firmware, and RF hardware teams.
Validate system architectures and algorithms through rigorous simulation and automated requirements analysis.
Preferred Qualifications
MS or PhD in Electrical Engineering, Physics, or a related field.
3+ years of industry experience in RF systems or transceiver architectures with a focus on advanced cellular communication topics.
5+ years of experience in RF systems engineering or 10+ years in communications circuit design.
Hands-on experience with RF filter technologies, power amplifier characterization, and Front-End module integration.
Expertise in designing and simulating analog and digital signal processing paths.
Experience applying Machine Learning or AI techniques to solve system-level optimization problems.
History of successfully balancing cutting-edge hardware innovation with the practical constraints of high-volume manufacturing.
Minimum Qualifications
BSEE required.
Deep understanding of 5G NR and LTE-Advanced physical layer procedures, particularly involving MIMO, SRS, and carrier aggregation.
Strong working knowledge of RF Front-End architectures and the system-level impact of components like PAs, LNAs, filters, and switches.
Proven track record of developing control algorithms, state machines, or system-level models for complex hardware.
Proficiency in Python, MATLAB, or C/C++ for data analysis, system modeling, and algorithm development.
Ability to critically analyze complex trade-offs, such as routing flexibility versus insertion loss, or throughput versus battery life.
Strong communication skills with a proven ability to work across diverse, cross-functional teams to solve highly complex, multi-disciplinary problems.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $116,400 and $203,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976