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Remote Algorithmic Trading Quant Jobs in Minneapolis, MN

JLL

Data Collection Specialist II

Minneapolis, MN · Remote

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Requires analytical and quantitative skills with proven experience in developing strategic ...

All JobsAlgorithmic Trading Quant JobsRemote Algorithmic Trading Quant JobsRemote Algorithmic Trading Quant Jobs in Minneapolis, MN

Remote Algorithmic Trading Quant information

See Minneapolis, MN salary details

$54.8K

$124.4K

$205.1K

How much do remote algorithmic trading quant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote algorithmic trading quant in Minneapolis, MN is $124,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $159,200.00 per year, depending on experience, location, and employer.

What is a remote algorithmic trading quant?

A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.

What are the key skills and qualifications needed to thrive as a remote algorithmic trading quant?

To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.

What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?

Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.

What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?

AspectRemote Algorithmic Trading QuantRemote Quantitative Analyst
CredentialsDegree in finance, computer science, or mathematics; coding skills; experience with trading algorithmsDegree in finance, economics, mathematics; statistical and analytical skills; programming knowledge
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on developing and testing trading algorithmsFinancial institutions, investment firms; focus on data analysis, modeling, and risk assessment
Industry UsageCommon in trading and hedge fund industriesWidespread across finance, banking, and investment sectors

The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Minneapolis, MN?

The most popular types of Algorithmic Trading Quant jobs in Minneapolis, MN are:

What job categories do people searching Remote Algorithmic Trading Quant jobs in Minneapolis, MN look for?

The top searched job categories for Remote Algorithmic Trading Quant jobs in Minneapolis, MN are:

Remote Algorithmic Trading Quant jobs near you
Infographic showing various Remote Algorithmic Trading Quant job openings in Minneapolis, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $124,385 per year, or $59.8 per hour.

Digital Media Buyer Paid Social & Search

FACE FOUNDRIÉ

Eden Prairie, MN • Remote

$60K - $70K/yr

Full-time

Re-posted 6 days ago

Job description


ABOUT

FACE FOUNDRIÉ is the focused facial bar redefining how people think about skincare. With 70 locations and growing, we’re a self-funded, fast-moving franchise brand with big goals.

We’re building something real, and we need sharp, hungry people to build it with us.

THE ROLE

We’re looking for a mid-level media buyer to own paid performance across core channels like Meta and Google. This isn’t a set-it-and-forget-it role. You’ll be in the accounts every day: building, testing, analyzing and optimizing campaigns that drive new client acquisition, membership growth and franchise awareness at scale.

You’ll be directly responsible for hitting acquisition and efficiency targets across markets, not just managing campaigns. You’ll also help evolve our paid media strategy beyond core channels, including programmatic like CTV and other emerging platforms.

You’ll report to our Digital Marketing Manager and work closely with the broader marketing and creative teams to connect the dots between creative and conversion.

WHAT YOU’LL OWN

  • Day-to-day management of Meta (Facebook/Instagram) and Google (Search, Display, YouTube) ad accounts

  • Own the full campaign lifecycle from strategy through execution and optimization

  • Audience strategy across prospecting, retargeting and lookalikes

  • Own budget pacing and allocation across markets to hit growth and efficiency targets

  • A/B testing across creative, copy, audiences and landing pages

  • Identify what’s working and continuously optimize performance across campaigns

  • Turn performance data into clear insights and action plans the team can act on

  • Partner with the creative team to brief and iterate on paid-specific assets

  • Stay ahead of platform changes, algorithm updates and new ad products

  • Execute and optimize programmatic campaigns (including CTV) to drive efficient reach and incremental growth

  • Test and scale new paid channels and activations beyond Meta and Google as the business grows

WHAT YOU BRING

  • 3–5 years of hands-on paid media experience with proven, direct ownership of Meta and Google accounts

  • Deep familiarity with Meta Ads Manager, Google Ads and GA4

  • Track record managing $50K+ monthly ad spend (franchise, multi-location, or consumer brand experience a plus)

  • Strong understanding of ROAS, CPA, CPL and LTV and how to actively improve them

  • Ability to clearly communicate performance, insights and next steps to non-technical stakeholders

  • Creative eye: you can spot a winning asset before the data tells you

  • Self-directed with experience owning performance and making decisions that drive results

  • Exposure to or experience with programmatic media buying (CTV, display, or platforms like The Trade Desk or DV360), with a proactive approach to testing and scaling new channels

  • Bonus: experience with franchise brands, beauty/wellness, or membership-based businesses


LOCATION

+ Open to remote, hybrid and/or local applicants