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Quant Developer Jobs in California (NOW HIRING)

Triumph Arcade, Inc

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Quant Strategist, you'll sit at the intersection of mathematics, computer science ... Partner closely with engineering, product, and leadership to translate model outputs into real-time ...

Triumph

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Quant Strategist, you'll sit at the intersection of mathematics, computer science ... Partner closely with engineering, product, and leadership to translate model outputs into real-time ...

deCircle

Dewiz - Quantitative Researcher

San Francisco, CA · On-site

$150 - $200/hr

Dewiz is one of the core engineering teams within the Sky Ecosystem, building the infrastructure ... As the ecosystem continues to expand, we're looking for a Quantitative Researcher to help design ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

$200 - $250/hr

PhD preferred2-5 years of relevant experience as a commodity quant supporting a sell-side trading ... programming ability in Python with experience delivering reliable analytical or research ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

PhD preferred * 2-5 years of relevant experience as a commodity quant supporting a sell-side ... Advanced programming ability in Python with experience delivering reliable analytical or research ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

PhD preferred * 2-5 years of relevant experience as a commodity quant supporting a sell-side ... Advanced programming ability in Python with experience delivering reliable analytical or research ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200 - $250/hr

Required Competencies * 5-10+ years of experience as an ML Engineer, Quant Engineer, or similar role. * Proven track record deploying production ML systems (ideally in finance or other high‑stakes ...

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Quant Developer information

See California salary details

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$167.5K

$256.1K

How much do quant developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for quant developer in California is $167,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $196,400.00 per year, depending on experience, location, and employer.

What is a quant developer?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

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

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.

Is a quant developer a good career?

A quant developer is a highly specialized role that involves developing algorithms and models for financial trading and risk management. It typically requires strong programming skills in languages like Python or C++ and a background in mathematics or finance. The role offers high earning potential and demand in financial firms but often involves long hours and high pressure.

What does a quant developer do?

A quant developer designs and implements complex mathematical models and algorithms used for trading, risk management, and investment strategies in financial firms. They typically work with programming languages like Python, C++, or Java and collaborate closely with traders and analysts to develop automated systems. Strong quantitative skills, programming expertise, and knowledge of financial markets are essential for this role.

What are the most commonly searched types of Quant Developer jobs in California?

The most popular types of Quant Developer jobs in California are:

What are popular job titles related to Quant Developer jobs in California?

For Quant Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Quant Developer jobs in California look for?

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What cities in California are hiring for Quant Developer jobs?

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Quant Developer jobs near you
Infographic showing various Quant Developer job openings in California as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $167,506 per year, or $80.5 per hour.

Quant Strategist

Triumph Arcade, Inc

San Francisco, CA • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago

Job description

The Role
As a Quant Strategist, you'll sit at the intersection of mathematics, computer science, and core business decisions. You'll have a direct impact on all facets of the business, applying your quantitative rigor directly to what drives revenue and player experience. You'll build the models and frameworks that power our most critical business decisions.
You'd be joining a small, high-output quant team (4 people today) that operates more like a trading desk than a data org. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems.
The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and interesting as what you'd find at a quant fund - constrained optimization, adversarial dynamics, real-money risk - but with more ownership, faster feedback loops, and direct impact on what gets built. You ship something, and you see it in the numbers the next day.
What You'll Do
  • Develop and optimize core risk-taking and revenue-generating algorithms - the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's business.
  • Own the quantitative framework for Rips by Triumph: pricing models, pack economics, and rarity calibration.
  • Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology.
  • Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.
  • Partner closely with engineering, product, and leadership to translate model outputs into real-time production systems and strategic decisions.
  • Design and build machine learning models that directly inform acquisition spend and product decisions.

Qualifications
  • Bachelor's degree in a quantitative subject: math, physics, computer science, data science, or a related discipline.
  • True depth and mastery over any quantitative domain: probability, statistics, applied machine learning, computer science, or math. We want spiky people who are confident that they are the best in their discipline.
  • Proficiency in Python and SQL.
  • Experience working with large amounts of data.

Preferred
  • Prior experience as a quantitative trader or quantitative researcher.
  • Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.
  • Nationally competitive in any activity. Some members from our company include national champions in debate, Clash Royale, and Poker.

Why Triumph?
  • High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.
  • High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.
  • High energy. Passionate team who are proud of our work and velocity (16x year over year growth).
  • Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.

Our team gathers 5 days a week at Triumph's headquarters at Levi's Plazain San Francisco.

Apply