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Manager Algorithmic Trading Quant Jobs in California

AI Systems, Training

Palo Alto, CA · On-site

$123K - $168K/yr

... algorithmic trade-offs with theorists and converting model requirements into concrete ... An MS/PhD or equivalent research/project experience in a quantitative field such as AI/Machine ...

... 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 ...

... 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 ...

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 ...

About this role BlackRock is one of the world's preeminent asset management firms and a premier ... Execute portfolio rebalances and generate trade lists aligned with model views and evolving market ...

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Manager Algorithmic Trading Quant information

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 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:
What are popular job titles related to Manager Algorithmic Trading Quant jobs in California? For Manager Algorithmic Trading Quant jobs in California, the most frequently searched job titles are:
What job categories do people searching Manager Algorithmic Trading Quant jobs in California look for? The top searched job categories for Manager Algorithmic Trading Quant jobs in California are:
What cities in California are hiring for Manager Algorithmic Trading Quant jobs? Cities in California with the most Manager Algorithmic Trading Quant job openings:
Quantitative Scientist (Staff / Sr Staff) - Power Markets

Quantitative Scientist (Staff / Sr Staff) - Power Markets

Equilibrium Energy

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

About our Company
Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation.
Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We're looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.
What we are looking for
Equilibrium was founded with a vision for building a company where innovation, collaboration, machine learning, and data science power all aspects of our algorithmic decision-making. We are looking for staff / sr staff quantitative scientistswith a heavy focus on trading strategy research and development in the energy space to accelerate the maturation of our quantitative trading & platform-as-a-service businesses. You'll help to shape the science-driven products, tools, & processes that will drive the future success of our company and lead the energy transition.
As a key member of our sciences group, you will play an active role in a) cultivating our culture of experimentation, signal discovery, and incremental delivery, b) facilitating research into profitable strategy development and energy market dynamics, c) helping to identify, recruit, train, and mentor members of our growing team of exceptional trading analysts, and d) partnering with our clients, engineers, product managers, and scientists to influence the near to medium term product roadmap.
What you will do
Use research insights to shape product direction and deliver innovative client solutions: Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics, in order to evolve organizational direction and drive positive impact at EQ's clients. Initiate and lead cross-functional engagements to surface, prioritize, and structure advanced novel quantitative analytics or machine learning techniques that can drive outsized impact on company trading strategies and client solutions.
Trading performance analytics: Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education.
Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain: Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques & domain intuition, and executing hands-on experimental models & backtests. Drive the design, specification, development, and production deployment of our suite of novel quantitative trading solutions. Lead short to medium term research projects that advance the state-of-the-art in quantitative research techniques, as applied to energy asset management and financial trading.
The minimum qualifications you'll need
  • Passion for clean energy and fighting climate change
  • An degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline
  • 2+ years experience in quantitative research & analytics or systematic financial trading, or similar role, in the US Power Markets
  • 2+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc)
  • Experience in the electricity and energy domain (e.g. wholesale market prices)
  • Experience developing, releasing, and tracking performance of quantitative trading strategies in production
  • Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences
  • A collaboration-first mentality, with a willingness to teach as well as learn from others
Nice to have additional skills
  • Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty
  • Experience with database technologies and sql
  • Experience with probability, hypothesis testing, and uncertainty quantification
  • Experience with optimization techniques (e.g. stochastic optimization, robust optimization)
  • Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit)
  • Experience leading and mentoring a team of analysts

Not sure this is the right role for you?
We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role.
What we offer
Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we've previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.
Employee benefits include:
  • Competitive base salary and a comprehensive medical, dental, vision, and 401k package
  • Opportunity to own a significant piece of the company via a meaningful equity grant
  • Unlimited vacation and flexible work schedule
  • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech

Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.