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Quant Python Remote Jobs in Salt Lake City, UT (NOW HIRING)

Product Data Analyst

Salt Lake City, UT · Remote

$145K - $175K/yr

Python for analysis -- pandas and statistical libraries; you don't freeze when the answer requires ... Degree in a quantitative field * Hex, dbt, and Bigquery experience * Prior growth-stage consumer ...

Quant Python Remote information

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How much do quant python remote jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for quant python remote in Salt Lake City, UT is $56.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
What are popular job titles related to Quant Python Remote jobs in Salt Lake City, UT? For Quant Python Remote jobs in Salt Lake City, UT, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Salt Lake City, UT look for? The top searched job categories for Quant Python Remote jobs in Salt Lake City, UT are:
What cities near Salt Lake City, UT are hiring for Quant Python Remote jobs? Cities near Salt Lake City, UT with the most Quant Python Remote job openings:
Product Data Analyst

Product Data Analyst

Wand

Salt Lake City, UT • Remote

$145K - $175K/yr

Full-time

Re-posted 6 days ago


Job description

Wand makes gaming magical. Through game customization and guidance, we build tools that helps players have more fun in their favorite games.

Our platform works across thousands of PC games, ensuring that great games are accessible to everyone, regardless of time constraints, skill level, or accessibility needs. We want to build the future of game assistance, and we're hoping you'll join us.

About the role

We're hiring a Product Analyst to own the metrics that matter most and chase down the questions nobody else has time for. You'll partner with Product, Growth, Marketing, and Finance — not as a service desk, but as a peer who pushes back when the question being asked isn't the right one.

This is a senior IC role. You'll set the analytical bar, define the metrics frameworks the rest of the team relies on, and run the experiments that decide what ships. Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and the decision that follows.

What you'll own

The metrics that run the business. You'll own the dashboards and definitions Product, Growth, Marketing, and Finance rely on every day. When a number moves, you'll know before anyone else — and you'll know why. You'll build in Hex, document in our spec, and enforce consistent definitions across teams.

Deep investigation. When retention dips or a funnel leaks, you won't stop at the symptom. You'll follow the thread — through cohorts, segments, the quirks of specific games — until you can name the cause and recommend a fix. You'll notice when a chart doesn't look right and you won't leave it alone.

Experimentation. You'll design and analyze A/B tests on product changes, pricing, onboarding, and growth initiatives. You'll set sample sizes, call stat sig, and write the readouts. When a result is noisy or a test is underpowered, you'll say so — even when the PM is ready to ship.

Strategic partnership. You'll work directly with our leaders on the questions that don't have obvious answers. What are players actually doing in Game Guide? Which customizations predict long-term retention? Why does Wand Pro convert better in some game categories than others? You'll frame the question, run the analysis, and deliver the recommendation.

What you'll be measured on

The decisions you unblocked. The metrics you improved. The bad ideas you killed before they shipped. The questions you answered before anyone thought to ask them.

Minimum qualifications
  • 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships)

  • SQL fluency — complex joins, incremental computation, window functions, query optimization; comfortable with large, messy datasets

  • Python for analysis — pandas and statistical libraries; you don't freeze when the answer requires code

  • Experimentation chops — hypothesis testing, sample sizing, and the judgment to tell a p-value from an insight

  • A track record of moving metrics you cared about (we'll ask you to walk us through one)

  • Direct communication — you can tell a leader an uncomfortable answer without burying it in caveats

Preferred qualifications
  • Degree in a quantitative field

  • Hex, dbt, and Bigquery experience

  • Prior growth-stage consumer software or gaming experience

  • Causal inference methods (diff-in-diff, regression discontinuity, propensity matching)

  • Prior work on LTV, retention, or subscription models

  • Experience building metrics frameworks or KPI hierarchies from scratch

How we work

Fully remote, with a few hours of daily overlap across US time zones. We ship fast, write things down, and don't run meetings that could have been a Loom. We play games. You probably should, too.

Join us in building the future of PC gaming.

Wand is an equal opportunity employer. We build tools for every kind of player, and we hire the same way.

Compensation Range: $145K - $175K