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Manager Algorithmic Trading Quant Jobs in California

TikTok

Data Scientist, Quant Modeling

San Jose, CA · On-site

$136K - $292K/yr

... and algorithmic expertise - Design, run and analyze A/B experiments to inform and execute the ... managing confidential information including proprietary and trade secret information and access to ...

TikTok

Data Science Lead, Quant Modeling

San Jose, CA · On-site

$179K - $374K/yr

... and algorithmic expertise - Design, run and analyze A/B experiments to inform and execute the ... managing confidential information including proprietary and trade secret information and access to ...

Pennymac

FVP, Whole Loan Trading

Westlake Village, CA · On-site

$110K - $170K/yr

S. mortgage loans and the management of investments related to the U.S. mortgage market. At ... Strong quantitative analysis skills and proficiency in statistical analysis, quantitative methods ...

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Manager Algorithmic Trading Quant information

What is another word for manager or leader?

In the context of a Manager Algorithmic Trading Quant, alternative words for manager or leader include supervisor, director, head, or team lead. These terms describe roles responsible for overseeing trading strategies, managing teams, and making strategic decisions within quantitative trading environments.

What is the role of a manager?

A manager oversees a team or department, sets goals, and ensures tasks are completed efficiently. In an algorithmic trading context, they coordinate trading strategies, manage risk, and lead quantitative analysts and developers. Strong leadership, communication, and understanding of trading systems are essential skills for this role.

What is the difference between Manager Algorithmic Trading Quant vs Quantitative Trader?

AspectManager Algorithmic Trading QuantQuantitative Trader
Primary RoleOversees trading strategies, manages teams, and develops high-level algorithmsExecutes trading strategies, analyzes markets, and implements models
ResponsibilitiesStrategy development, team leadership, risk managementMarket analysis, trade execution, model testing
CredentialsAdvanced degrees in finance, math, or computer science; experience in tradingDegree in finance, math, or related fields; strong quantitative skills
Work EnvironmentFinancial firms, hedge funds, trading desksTrading floors, financial institutions, hedge funds

The Manager Algorithmic Trading Quant focuses on leading teams and developing high-level trading algorithms, while the Quantitative Trader primarily executes trades and analyzes markets. Both roles require strong quantitative skills and relevant credentials, but differ in responsibilities and leadership scope.

What do you mean by a manager?

A manager in the context of a Manager Algorithmic Trading Quant oversees trading strategies, manages a team of quantitative analysts, and ensures the implementation of algorithms that optimize trading performance. They typically have strong skills in programming, finance, and data analysis, and may use tools like Python, C++, or trading platforms. The role involves leadership, strategic planning, and risk management within a trading environment.

What is the definition of a manager?

A manager is a professional responsible for overseeing a team or department, coordinating activities, and ensuring goals are met. In the context of a Manager Algorithmic Trading Quant, this role involves leading trading strategies, managing quantitative analysts, and utilizing programming and data analysis skills to optimize trading performance.
What are the most commonly searched types of Algorithmic Trading Quant jobs in California? The most popular types of Algorithmic Trading Quant jobs in California are:
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Manager Algorithmic Trading Quant jobs near you

Software Engineer, New Grad

Andalusia Labs

San Francisco, CA

Other

Posted 4 days ago

Job description

New Grad Software Engineer

Andalusia Labs is building foundational economic infrastructure for programmable global markets, connecting capital, computation, and coordination across the internet. Our work sits at the intersection of distributed systems, finance, and machine intelligence, with the goal of growing the world's programmable GDP.

Our team has shipped massively scalable systems and products at Coinbase, Google, AWS, Microsoft, X, TikTok, Goldman Sachs, and High-Frequency Trading firms. We are backed by Coinbase, Mubadala, Lightspeed, Bain Capital, Pantera, Framework, Digital Currency Group, Proof Group, Nima Capital, Naval Ravikant, Arthur Hayes, and founders, GPs, and executives from organizations like Founders Fund, Google, and Coinbase.

Role

We are hiring a New Grad Software Engineer to help build systems that power programmable markets. You will contribute to core services, ship high-performance code, and learn across the stack. You will work alongside founders, senior engineers, and product partners to turn new primitives into production systems that handle high usage.

Responsibilities
  • Contribute to core services across networking, consensus and execution, tokenization, exchange, settlement, and data pipelines
  • Design, implement, and operate high-quality services in C++, Rust, Go, or Solidity with guidance from senior engineers
  • Profile and improve performance for throughput, tail latency, memory, storage, and network efficiency
  • Build correctness and safety with unit tests, property-based testing, fuzzing, static analysis, and thorough reviews
  • Support production reliability with clear SLOs, alerting, dashboards, and participation in incident response after onboarding
  • Create and maintain internal libraries, developer tooling, and CI to speed delivery and raise code quality
  • Write clear design docs that explain tradeoffs and support sound technical decisions
  • Collaborate with peers in design and code reviews and contribute to a high engineering bar
  • Partner with product, research, security, and go-to-market to scope milestones and ship new capabilities
  • Learn, model, and help implement financial primitives and risk logic with rigorous testing and telemetry
Requirements
  • BA/BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
  • 0 to 2 years of experience through internships, research, or significant projects working with at least one of these languages (C++, Rust, Go, Solidity)
  • Strong understanding of distributed systems, data structures, algorithms, and software design
  • Experience building performant applications in internships, research, or significant projects
  • Exposure to compilers, runtimes, optimization, or static analysis through internships, research, or significant projects is a plus
  • Familiarity with Git, continuous integration, and automated testing for C++, Rust, Go, and or Solidity stacks
  • High ownership, ability to learn quickly with minimal guidance
  • Ability to work in a fast-paced environment and across the product engineering stack
  • Clear written and verbal communication
Bonus
  • MA/MS, PhD, or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
  • Familiarity with cryptography, key management, TEEs, or zero-knowledge systems
  • Experience or coursework in fintech, algorithmic trading, or financial primitives
  • Experience with React, Node, and/or TypeScript
  • Interested in startups.

Apply