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Remote Risk Quant Jobs in Fremont, CA (NOW HIRING)

Staff Product Manager, Card

San Francisco, CA · On-site +1

$240K - $300K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ... Exceptional quantitative judgment across cohort, portfolio, behavioral, and economic metrics.

Product Manager

San Francisco, CA · On-site +1

$155K - $185K/yr

Research shows that continuous remote monitoring can reduce hospital visits and improve patient ... Synthesize qualitative and quantitative data alongside market trends to continuously drive software ...

This role is Remote or Hybrid - Palo Alto, CA. Our People Team is a small, nimble force with ... Strong sense of judgement and extensive background managing high-risk employee relations cases ...

Recommending appropriate risk-based business actions to be taken to onboard customer and/or on ... S. degree; quantitative or technical degree a plus * CAMS, CFCS or CFE certification is a plus.

Recommending appropriate risk-based business actions to be taken to onboard customer and/or on ... S. degree; quantitative or technical degree a plus * CAMS, CFCS or CFE certification is a plus.

Showing results 21-40

Remote Risk Quant information

See Fremont, CA salary details

$107.3K

$185.8K

$284.1K

How much do remote risk quant jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote risk quant in Fremont, CA is $185,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,200.00 and $217,800.00 per year, depending on experience, location, and employer.

What is a remote risk quant?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.

What are some common challenges faced by remote risk quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a remote risk quant, and why are they important?

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

What is the difference between Remote Risk Quant vs Remote Quantitative Analyst?

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What are popular job titles related to Remote Risk Quant jobs in Fremont, CA?

For Remote Risk Quant jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Remote Risk Quant jobs in Fremont, CA look for?

The top searched job categories for Remote Risk Quant jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Remote Risk Quant jobs?

Cities near Fremont, CA with the most Remote Risk Quant job openings:

Staff Product Manager, Card

Brex

San Francisco, CA • On-site, Remote

$240K - $300K/yr

Full-time

Re-posted 5 days ago


Job description

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope the most impactful opportunities for Brex to tackle. We align cross-functional teams-including Engineering, Legal, Compliance, and Design-on key decisions, set strategy, and drive products from inception to launch.

What you'll do

Card is a core Brex revenue engine. As Staff Product Manager, you will own the strategy for operational spend, finding portfolio-level opportunities across infrastructure, product, and customer workflows that move more critical spend onto Brex.

You will shape intelligent purchasing-card experiences for critical vendors and operational workflows. Your scope spans issuance, lifecycle, authorizations, controls, servicing, and economics-connecting payment fundamentals to differentiated customer experiences.

This scaled-growth role has direct commercial impact. You will align Card Infrastructure, Spend Provisioning, and customer-facing teams to grow card volume and recurring revenue while improving authorization performance, reliability, and customer trust.

Where you'll work

This role will be based in either our San Francisco, Seattle, or New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities
  • Own the card-program strategy for operational spend.
  • Find portfolio-level opportunities to grow card volume, share of wallet, and recurring revenue.
  • Build purchasing-card experiences for critical-vendor and operational-spend workflows.
  • Connect issuance, authorizations, controls, servicing, and economics into one strategy.
  • Use AI to monitor program health, anticipate issues, prevent avoidable declines, and automate routine servicing.
  • Align Card Infrastructure, Spend Provisioning, Risk, Operations, Engineering, Design, and GTM on cross-stack execution.
  • Grow the portfolio without compromising authorization performance, reliability, economics, or trust.
  • Own card volume, recurring revenue, authorization performance, reliability, and workflow adoption.
Requirements
  • A track record of growing a scaled product, revenue portfolio, marketplace, or financial system.
  • Exceptional quantitative judgment across cohort, portfolio, behavioral, and economic metrics.
  • Material impact on payment volume, transactions, revenue, balances, or another scaled metric.
  • Strong systems thinking across infrastructure, operations, economics, and customer experience.
  • Concrete judgment about how AI can improve workflows and system performance.
  • Ability to lead multiple workstreams without reducing strategy to a feature roadmap.
  • Strong cross-functional communication and influence across technical, operational, risk, and commercial teams.
  • Card or payments experience is valuable; strong scaled-growth experience in an adjacent financial product can substitute.
Compensation

The expected salary range for this role is $240,000 - $300,000.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.