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Junior Algorithmic Trading Quant Jobs in California

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms ...

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms ...

Apple

Motion Sensing System Architect

Bodega Bay, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

... quantitative end-to-end models of the sensing signal chain (physical, electrical, algorithmic) to ... Perform architectural trade-off analyses across performance, manufacturability, size, schedule, and ...

Clipboard Health

Applied Scientist

San Francisco, CA · On-site

$160K - $225K/yr

The team owns the quantitative infrastructure underneath the marketplace: pricing algorithms ... Equivalent depth from a quant research or trading environment. * Track record of building applied ...

PIMCO

Trader, Investment Grade Credit

Newport Beach, CA · On-site

This individual will be responsible for trading significant amounts of Investment Grade Credit ... Excellent fixed income product knowledge and strong quantitative/analytical skills (spread analysis ...

PIMCO

Trader, Investment Grade Credit

Newport Beach, CA · On-site

This individual will be responsible for trading significant amounts of Investment Grade Credit ... Excellent fixed income product knowledge and strong quantitative/analytical skills (spread analysis ...

InMobi Advertising

Applied Scientist III

San Mateo, CA · On-site

... algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within ... or a related quantitative discipline. • 5.5-7 years of experience working on algorithmic or ...

InMobi Advertising

Applied Scientist III

San Mateo, CA · On-site

... algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within ... quantitative discipline. • Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI ...

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Junior Algorithmic Trading Quant information

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

AspectJunior Algorithmic Trading QuantQuantitative Research Analyst
Required CredentialsBachelor's in CS, Math, or Finance; programming skillsBachelor's or higher in Math, Stats, or Finance; programming skills
Work EnvironmentTrading firms, hedge funds, prop shopsResearch departments, financial institutions, hedge funds
Employer & Industry UsageCommon in trading firms focusing on algorithmic strategiesUsed across finance sectors for model development
Comparison Search IntentYesYes

The Junior Algorithmic Trading Quant typically focuses on developing and implementing trading algorithms within trading firms, often working closely with traders. In contrast, a Quantitative Research Analyst conducts broader research to develop financial models and strategies, which may be used for trading or risk management. Both roles require strong quantitative skills and programming knowledge, but their primary focus and work environment differ slightly.

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The most popular types of Algorithmic Trading Quant jobs in California are:

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For Junior Algorithmic Trading Quant jobs in California, the most frequently searched job titles are:

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Junior Algorithmic Trading Quant jobs near you

Data Scientist

Triumph

San Francisco, CA • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Job description

The Role

As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow.

You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches real money and real users. You see the impact in the numbers the next day.

What You'll Do

  • Monetization & Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph.

  • User Journey & Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them.

  • Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product.

  • Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems.

  • Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.

  • Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.

Qualifications

  • Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.

  • True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline.

  • Proficiency in Python and SQL.

  • Experience working with large-scale user or behavioral datasets.

Preferred Qualifications

  • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation.

  • 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 of our team 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 Plaza in San Francisco.

Compensation Range: $200K - $400K