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C++ Quant Developer Jobs in California (NOW HIRING)

BlackRock

Quant Research, Associate

San Francisco, CA · On-site

  • Medical

  • Retirement

... software engineering. The Systems Researcher will be part of our investment and quantitative ... Excellent knowledge of Python / Pandas, as well as Java or C/C++. * Well-rounded proficiency with ...

Brookfield

Sr P&C Data Scientist

Los Angeles, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... quantitative field * Five years of relevant experience in data science, analytics, pricing ... Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)

Modal, Inc

Developer Relations Engineer

San Francisco, CA · On-site

$175K - $275K/yr

We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint ... Is metrics-driven and takes quantitative approaches to prioritizing initiatives. * Is excited about ...

Hudson River Trading

Research Engineer

London, CA

... Algo Developer (Quant Research) trading teams. These roles require exceptional programming ... Candidates should be prepared for technical interviews in either Python or C++. While there is no ...

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Collaborate with the engineering and product teams to develop and support our internal data ... Highly effective communicator; able to communicate complex quantitative analysis in a clear ...

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Collaborate with the engineering and product teams to develop and support our internal data ... Highly effective communicator; able to communicate complex quantitative analysis in a clear ...

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All JobsC++ Quant Developer JobsC++ Quant Developer Jobs in California

C Quant Developer information

What is a C++ quant developer?

A C++ Quant Developer is a specialized software engineer who builds and maintains quantitative trading models, tools, and infrastructure for financial institutions using the C++ programming language. Their work involves implementing algorithms for pricing, trading, and risk management, often in high-frequency or low-latency environments. They collaborate closely with quantitative analysts ('quants') to translate mathematical models into efficient, reliable code. This role requires strong programming skills, a solid understanding of mathematics and finance, and the ability to optimize code for performance-critical applications.

What are the key skills and qualifications needed to thrive as a C++ quant developer, and why are they important?

To excel as a C++ Quant Developer, you typically need strong programming skills in C++, a solid foundation in mathematics or quantitative finance, and at least a bachelor's degree in a technical field such as computer science, mathematics, or engineering. Familiarity with financial libraries, low-latency trading systems, and version control tools like Git is common, and proficiency in UNIX/Linux environments is often required. Exceptional problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies enable developers to design robust, efficient trading algorithms and collaborate effectively with quantitative researchers and traders in high-stakes financial environments.

What are some common challenges faced by C++ quant developers when implementing trading algorithms in a live environment?

C++ Quant Developers often face challenges related to optimizing code for ultra-low latency and high reliability, as even minor inefficiencies can impact trading performance. Debugging and testing algorithms in a live environment is complex due to the need for accuracy, speed, and managing large volumes of data under real-time constraints. Collaboration with quantitative analysts, traders, and infrastructure teams is essential to ensure that models are not only mathematically sound but also robust and scalable in production. Staying updated with the latest advancements in both C++ and financial technology is also crucial for success in this role.

What does a C++ quant developer do?

The duties of a C++ quantitative developer involve financial software development using the C++ programming language. In many cases, other traders or Quant professionals write prototype code for financial institutions in a programming language such as Python or R. This prototype code is then translated into C++ by a quantitative developer. Qualifications to become a quantitative developer include a bachelor’s degree in financial engineering, computer science, or a closely related field.

What is the difference between C++ Quant Developer vs Quantitative Analyst?

AspectC++ Quant DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming certificationsDegree in Finance, Economics, or Mathematics; often CFA or FRM certifications
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on software developmentFinancial institutions, asset management; focus on data analysis and modeling
Employer & Industry UsagePrimarily in quantitative trading and algorithm developmentRisk management, investment analysis, and strategy formulation

The main difference is that C++ Quant Developers focus on building and optimizing trading systems using C++, while Quantitative Analysts analyze data and develop models to inform trading strategies. Both roles require strong quantitative skills, but their daily tasks and focus areas differ significantly.

More about C Quant Developer jobs

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

The top searched job categories for C++ Quant Developer jobs in California are:

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C Quant Developer jobs near you
Infographic showing various C++ Quant Developer job openings in California as of August 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution.

Quant Research, Associate

BlackRock

San Francisco, CA • On-site

Full-time

Medical, Retirement

Posted 9 days ago

BlackRock rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

About this role

BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock offers a range of solutions - from meticulous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world's capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares ETFs.

Elevate your career by joining the world's largest asset manager! Thrive in an environment that cultivates positive relationships and recognizes outstanding performance! We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and actively engage your involvement in our success.

Systematic Active Equity (SAE) is the quantitative equity group within BlackRock's Systematic investment group. We invest our client assets using a systematic investment approach. SAE is a pioneer and thought leader in the industry and has consistently achieved client investment goals across global equity markets for over 30 years. We believe research and innovation are critical to continuing our success and believe in a multi-disciplinary approach that intersects traditional finance and economics with data and computer science.

We are seeking a Systems Researcher who will primarily focus on computer science, data management, mathematical models, and computer simulations. The main skills for this role are outstanding execution of algorithmic development and software engineering. The Systems Researcher will be part of our investment and quantitative research teams.

We have:

  • $200bn + billion USD under management.

  • A team of world-class quantitative finance researchers and portfolio managers.

  • Through BlackRock, access to some of the best investors and thought leaders, as well as to leading experts in statistics, machine learning, and optimization.

  • A 40-year plus track record of performance and innovation.

You have:

  • The desire to work in a team environment with computer scientists, data scientists, and quantitative investors of many different backgrounds.

  • A passion for algorithmic development and implementation, and a keen attention to detail.

  • A fascination for some aspects of computer science: distributed computing, cryptography, and machine learning.

  • Working knowledge of serverless architecture, ideally having developed or contributed to projects in that space.

  • A Bachelors, Masters, or Ph.D. in computer science with 2+ years of applied experience.

  • A proven track record of delivering awesome software.

  • Excellent knowledge of Python / Pandas, as well as Java or C/C++.

  • Well-rounded proficiency with Linux and UNIX systems.

  • Experience in distributed computing and the use of GPUs.

For San Francisco, CA Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidanceon when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


About BlackRock


At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.


This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.View theEEOC's Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with ourprivacy policy.

We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person's appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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