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Algorithmic Trading Jobs in Albuquerque, NM (NOW HIRING)

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Algorithmic Trading information

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How much do algorithmic trading jobs pay per year?

As of Aug 10, 2026, the average yearly pay for algorithmic trading in Albuquerque, NM is $82,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $88,100.00 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.
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Infographic showing various Algorithmic Trading job openings in Albuquerque, NM as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 75% Physical, 7% Hybrid, and 18% Remote job distribution, with an average salary of $82,984 per year, or $39.9 per hour.

Sr. Systems Engineer - Modeling Simulation & Analysis Engineer

Raytheon

Albuquerque, NM

$101K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

2nd of 538 rated manufacturers


Job description

Date Posted:

2026-06-22

Country:

United States of America

Location:

US-AZ-TUCSON-9020 ~ 9020 S Rita Rd ~ BLDG 9020

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

We’re looking for Sr. Systems Engineer - Modeling Simulation & Analysis Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn.

As a Sr. Systems Engineer - Modeling Simulation & Analysis Engineer, you will participate in challenging multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations. Our Performance Simulation teams provide, develop, and maintain high fidelity performance simulations, evaluate system performance, support new business initiatives and develop & execute technology roadmaps.  This is an Onsite role in Tucson, AZ.

What You will Do

  • You will create high fidelity simulations and models for missile design, performance assessment, and flight test support
  • You will be responsible for the development and implementation of modeling solutions, and subsequently conduct trade studies and evaluation of system and subsystem performance
  • You will work in a team environment, receiving input from the team supervisors and providing guidance and/or direction to other team members
  • You will collaborate with Guidance, Navigation & Control (GNC), Signal Processing, and other performance personnel to perform simulation activities according to the program schedule
  • You will work on different projects, determine, and develop approaches and solutions, and provide development guidance throughout the product lifecycle from initial concept to fielded product
  • You will provide technical expertise for the simulation products of a specific program, and assist Senior Modeling Engineers in the preparation of detailed plans, and may interact with government counterparts as an authority on simulation products

Qualifications You Must Have

  • Typically requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of relevant prior experience
  • Experience applying object-oriented software design and programming in C or C++
  • Experience using Python or MATLAB for evaluation of data sets
  • Experience modeling or simulating physical systems
  • Experience in modeling, simulation, statistics, and/or analysis for existing or proposed engineering solutions
  • Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Qualifications We Prefer

  • Advanced Degree in Engineering, Science, Mathematics, or related STEM degree
  • Experience using applied system engineering principals, experience working on a team and/or by yourself, interfacing with multiple engineering disciplines
  • Experience creating and/or presenting technical briefings
  • Experience developing signal processing / GNC algorithms or models for missile applications
  • Experience with control hardware design & test and/or hardware & software integration
  • Experience modeling physics and/or modeling physical systems as related to flight dynamics
  • Experience using UNIX / Linux based workstations and using Software Configuration Management tools such as Git
  • Course work or experience in some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory

What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • Relocation Eligible – relocation assistance available for this position

Learn More & Apply Now!

  • Please consider the following role type definition as you apply for this role.  Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
  • This position requires onsite work in Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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