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Algorithmic Trading Jobs in Minnesota (NOW HIRING)

... algorithms and automation. For more information, please visitsolera.com. The Role The Government ... Represent Explore's interests at trade industry associations and networking events to promote new ...

Underpinned by a unique biometric algorithm, Biosite provides market-leading software solutions for ... Working closely with new customers to build successful trading relationships. * Developing your own ...

Underpinned by a unique biometric algorithm, Biosite provides market-leading software solutions for ... Working closely with new customers to build successful trading relationships. * Developing your own ...

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Algorithmic Trading information

See Minnesota salary details

$73K

$84K

$92.1K

How much do algorithmic trading jobs pay per year?

As of Jul 27, 2026, the average yearly pay for algorithmic trading in Minnesota is $83,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $89,100.00 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.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

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.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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 Minnesota as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $83,984 per year, or $40.4 per hour.
Director - Digital Trading

Director - Digital Trading

Royal Bank of Canada

Minneapolis, MN • On-site

$140K - $230K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Job Description
WHAT IS THE OPPORTUNITY?
The Director - Digital Trading provides strategic leadership and oversight of digital product initiatives within RBC US Wealth Management. They manage a team of Product Owners, align product strategy with core brokerage and trading objectives, and drive innovation across the digital client experience for our portfolio management and trading tools. This role focuses on trading systems including advisor order entry, order processing and execution systems. You'll work with vendors and internal development partners to ensure the best overall experience for our clients and advisors.
WHAT WILL YOU DO?
Strategic Leadership
  • Define digital product strategy for trading platforms, portfolio analytics, risk management, and execution systems
  • Establish roadmaps aligned with business goals and client needs
  • Identify opportunities in algorithmic trading, analytics, and workflow automation
  • Ensure regulatory compliance across all initiatives

Team Leadership
  • Hire, mentor, and develop Product Owners
  • Coach on product strategy, regulatory requirements, and capital markets best practices
  • Set performance expectations and foster cross-functional collaboration

Portfolio & Financial Management
  • Oversee product performance and ROI across the trading and portfolio management portfolio
  • Manage budget allocation and prioritize investments
  • Monitor trading volumes, execution quality, and client retention metrics

Stakeholder Engagement & Cross-Functional Leadership
  • Manage relationships with traders, portfolio managers, clients, compliance, and risk teams
  • Represent the product function in regulatory discussions
  • Act as "the glue" between vertical silos within project teams - including operations, risk/compliance and other technology delivery teams
  • Partner across business, tech, design, research, communications, training, compliance, legal, and risk functions
  • Enable partners by equipping communications/training teams with data, digital messaging, and timely updates
  • Provide regular visibility and updates to senior leadership on project status and releases

Product Development & User Engagement
  • Lead user engagement through pilot management, research, and feedback collection
  • Align product teams with user experience and increase speed to delivery through agile ways of working
  • Conduct user research, design solutions, and iterate through agile cycles (Research → Design → Build → Pilot)
  • Own end-to-end requirements
  • Move from fragmented digital environments to deliver cohesive user experiences across advisor-facing, branch-facing, and client-facing platforms

WHAT DO YOU NEED TO SUCCEED?
Must have:
  • 12+ years of product management experience in financial services in money movement
  • 5+ years leading product management teams
  • Proven track record of scaling digital products in highly regulated banking environments
  • Strong understanding of banking industry, deposit products, credit products, and lending operations
  • Experience navigating regulatory compliance, risk management, and consumer protection in financial services
  • Excellent strategic thinking and executive communication abilities
  • Deep knowledge of agile and digital product development methodologies

What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work

The good-faith expected salary range for the above position is $140,000- $230,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan. RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
* Drives RBC's high-performance culture
* Enables collective achievement of our strategic goals
* Generates sustainable shareholder returns and above market shareholder value
Job Skills
Business Case Design, Critical Thinking, Knowledge Organization, Product Development Lifecycle, Product Development Methodology, Product Manufacturing, Product Services, Product Testing, Results-Oriented, Waterfall Model
Additional Job Details
Address:
250 NICOLLET MALL:MINNEAPOLIS
City:
Minneapolis
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
WEALTH MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-07-17
Application Deadline:
2026-08-28
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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