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Quantitative Trading Developer Jobs in Minnesota

Associate Actuary

Maple Grove, MN ยท On-site

$137K - $155K/yr

Provide quantitative support in evaluating derivative market instruments and assist in the ... Proficiency in programming languages R, SQL, or Python * Fantastic written and verbal communication ...

Price Risk Solutions Intern - Summer 2027

Wayzata, MN ยท On-site

$15.25 - $20.50/hr

Strong analytical, quantitative, and problem-solving skills Sound judgment and decision-making ... Programming: With comprehensive learning resources at your disposal, you can take your learning in ...

Risk Management Intern - Wayzata, MN

Wayzata, MN ยท On-site

$23.13 - $32.02/hr

Help monitor the short-term trading strategies and books for a specific commodity, market or ... Strong analytical, quantitative, and problem-solving skills * Sound judgment and decision-making ...

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ...

Showing results 41-58

Quantitative Trading Developer information

What is a quantitative trading developer?

A Quantitative Trading Developer is a professional who designs, develops, and implements automated trading strategies using mathematical models, statistical analysis, and programming skills. They work closely with quantitative analysts and traders to transform trading ideas into code that can execute trades in financial markets. These developers typically use programming languages like Python, C++, or Java to build high-performance trading systems that can handle large volumes of market data and execute trades with minimal latency. Their role is crucial in leveraging technology to gain a competitive edge in financial markets.

What are the key skills and qualifications needed to thrive as a quantitative trading developer?

To thrive as a Quantitative Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid background in mathematics or statistics, and typically a degree in computer science, engineering, or a related quantitative field. Familiarity with trading platforms, financial data APIs, version control systems like Git, and experience with low-latency systems or high-frequency trading infrastructure is highly valued. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for building robust and innovative trading solutions. These skills and qualities are vital for developing, testing, and deploying algorithms that perform efficiently and reliably in fast-paced financial markets.

What are some common challenges faced by quantitative trading developers when implementing trading algorithms in a live environment?

Quantitative Trading Developers often face challenges such as managing latency, ensuring data integrity, and handling real-time risk management when deploying algorithms in live markets. Transitioning from a simulation or backtest to a live trading environment can reveal issues like unexpected market conditions, slippage, or connectivity problems that may not have been apparent during development. Collaboration with traders, system engineers, and risk managers is essential to quickly diagnose and resolve production issues, making adaptability and strong communication skills crucial for success in this role.

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

AspectQuantitative Trading DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, Mathematics; strong analytical skills
Work EnvironmentCollaborates with traders and developers; focuses on building trading systemsAnalyzes market data; develops models for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, proprietary trading firmsInvestment banks, asset management firms, hedge funds

In summary, Quantitative Trading Developers primarily focus on building and maintaining trading systems using programming skills, while Quantitative Analysts concentrate on developing models and analyzing data to inform trading decisions. Both roles are essential in quantitative finance but differ in their core responsibilities and skill sets.

What cities in Minnesota are hiring for Quantitative Trading Developer jobs?

Cities in Minnesota with the most Quantitative Trading Developer job openings:

Pre Award: USAF MA- Journeyman Data Analyst- Pentagon, VA

Virginia, MN โ€ข On-site

Barbaricum
National Securityย โ€ขย 201 - 500 employees

Other

Posted 12 days ago


Job description

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Headquartered in Washington, DCโ€™s historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nationโ€™s most complex and rewarding challenges. Join our team.

Barbaricum is seeking a Journeyman Data Analyst to assess, process, and support data collection while providing high-impact analytical decision-support and strategic analysis of assessment data. This role directly supports the execution of policies, plans, and strategies for the anticipated Headquarters Air Force Mission Assurance (MA) Program. The USAF MA program identifies, assesses, prioritizes, and oversees risk management actions for Department of War (DoW) and USAF critical assets in accordance with DoDD 3020.40 and DODI 3020.45.

Responsibilities
  • Interface directly with senior leaders and capability providers to deliver quantitative, data-driven clarity on Mission Assurance (MA) risks and strategic operational readiness.
  • Formulate rigorous tasking packages and official staffing materials backed by predictive analytics to justify resource allocations across military command channels.
  • Design and deploy decision-support products, automated data workflows, and monitoring views inside secure enterprise platforms like Palantir Foundry and Advana.
  • Model and mathematically forecast multiple Courses of Action (COAs) to provide commanders with clear success probabilities and asset degradation metrics.
  • Construct algorithmic ROI decision models to evaluate the financial and operational trade-offs of proposed security enhancements and infrastructure upgrades.
  • Quantify the "cost of inaction" by mapping threat probabilities against asset replacement costs and potential mission failure impacts.
  • Synthesize complex data outputs into executive-level visual dashboards, briefs, and information papers tailored for general officer consumption.
  • Conduct data-driven risk-mitigation analysis to identify critical structural vulnerabilities and single points of failure across strategic military networks.
  • Leverage AI/ML methodologies to extract actionable risk indicators from unstructured datasets and historical assessment documentation.
  • Bridge the gap between capability providers and data engineers to ensure that pipeline data architecture accurately maps to real-world mission capabilities.
Qualifications
  • Clearance: Active DoD TS Clearance required.
  • Education: Bachelorโ€™s Degree required; Masterโ€™s Degree Preferred.
  • Experience: Minimum of three (3) years of experience with DoW, specifically dealing with critical infrastructure, readiness, or operations.
  • Passport & Travel: Valid US passport; ability to travel CONUS or OCONUS approximately 25% of the time.
  • Communication: Excellent oral and written communication skills with people at all levels. Proven ability to coordinate with inter-agency and inter-service partners.
  • Core Skills: Strong problem-solving skills, deep understanding of risk management principles/methodologies, and a proven ability to take initiative in a team environment to meet tight timelines.
Desired Qualifications
  • Staff Experience: Experience working on large G, J, or A staffs. Candidates with experience working at MAJCOMs or NAFs in requirements or plans and programs are highly desired.
  • Domain Expertise: Relevant experience in a Mission Assurance related discipline including Force Protection, Civil Engineering, Emergency Management, Intelligence, Communications, Airfield Operations, or Cybersecurity.
  • Systems Familiarity: Prior experience with Mission Assurance databases, Mission Assurance Risk Management System (MARMS) applications, or familiarity with Maven, Envision, and Palantir Foundry Platforms.
EEO Commitment

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Fort Eustis, Virginia, United States; Fort Leavenworth, Kansas, United States

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