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Remote Risk Quant Jobs in Santa Clara, CA (NOW HIRING)

This is a senior strategy-and-analytics role for someone who can pair quantitative rigor with ... uncertainty, quantify risk, and develop data-driven recommendations • Proven ability to ...

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 ...

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 ...

Remote Risk Quant information

See Santa Clara, CA salary details

$115.1K

$199.3K

$304.8K

How much do remote risk quant jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote risk quant in Santa Clara, CA is $199,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,000.00 and $233,700.00 per year, depending on experience, location, and employer.

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 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 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 the most commonly searched types of Risk Quant jobs in Santa Clara, CA? The most popular types of Risk Quant jobs in Santa Clara, CA are:
What are popular job titles related to Remote Risk Quant jobs in Santa Clara, CA? For Remote Risk Quant jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Risk Quant jobs in Santa Clara, CA look for? The top searched job categories for Remote Risk Quant jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Risk Quant jobs? Cities near Santa Clara, CA with the most Remote Risk Quant job openings:

Sr Store Analytics Manager

Tailored Brands

Dublin, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Tailored Brands rating

6.8

Company rating: 6.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

27th of 104 rated fashion retailers


Job description

Tailored Brands is a leading specialty retailer of menswear, including suits, formalwear, sportswear, and a broad selection of business casual offerings. Our brands include Men's Wearhouse, Jos. A. Bank, Moores and K&G Fashion Superstore, which offers merchandise for the entire family. We help people love the way they look and feel for their most important moments by delivering personalized products and services through our convenient network of stores and e-commerce sites.
About the Job
We currently have an exciting opportunity for a Sr Store Analytics Manager to join the Tailored Brands Enterprise Analytics team. The Sr Store Analytics Manager is the lead analytical partner for store-growth decisions. You will help shape where Tailored Brands grows, how new opportunities are evaluated, how store maturity and network effects are understood, and how store tests and investments are measured after launch. This is a senior strategy-and-analytics role for someone who can pair quantitative rigor with executive-ready communication.
What You'll Do | Key Accountabilities
• Translate complex forecasts and analytical findings into clear business recommendations, including risks, sensitivities, and executive-ready decision frameworks.
• Establish and standardize analytical methodologies, assumptions, governance practices, and decision frameworks across store-growth initiatives.
• Lead store maturity and sales ramp analyses to validate long-term performance assumptions and establish the foundation for next-generation forecast capabilities.
• Design, execute, and communicate test-and-learn analyses for new store openings, remodel programs, market activations, and other strategic investments.
• Develop and enhance predictive models that improve location selection, forecast accuracy, and understanding of drivers of store performance, including emerging work in gravity modeling, co-tenancy analysis, and market potential estimation.
• Leverage internal performance data and external datasets-including mobility, consumer spend, demographic, and competitive intelligence sources-to evaluate market opportunities, quantify demand potential, and strengthen store-growth recommendations.
• Partner closely with Real Estate, Store Operations, Merchandising, Finance, Data Engineering, and executive leadership to align analytical recommendations with business strategy.
• Mentor analysts and contribute to the long-term analytics roadmap by identifying new opportunities to apply advanced analytics, machine learning, and external market data to drive profitable growth.
What You'll Bring | Skills & Experience
• Bachelor's degree in Analytics, Statistics, Economics, Mathematics, Business, Data Science, Geography, or a related quantitative field; advanced degree preferred.
• 10+ years of experience in analytics, strategy, retail, real estate, consulting, consumer insights, or a related field.
• Strong SQL, Excel, and Python skills, with experience transforming large datasets into actionable business recommendations.
• Experience building, evaluating, or operationalizing forecasting models, predictive analytics, experimentation frameworks, or other decision-support methodologies.
• Familiarity with location intelligence, trade-area analytics, site selection, market planning, geospatial analysis, or related retail growth disciplines.
• Experience working with external data sources such as mobility, consumer spend, demographic, competitive, or market intelligence datasets.
• Strong analytical problem-solving skills, including the ability to evaluate uncertainty, quantify risk, and develop data-driven recommendations
• Proven ability to communicate complex analyses and recommendations to senior leaders and cross-functional stakeholders.
• Experience partnering across functions including Real Estate, Operations, Finance, Merchandising, Data Science, or Data Engineering.
• Curiosity, strong business judgment, and a continuous-improvement mindset with a passion for using data to drive growth decisions.
Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.
Work Environment, Physical & Mental Demands
• Ability to sit and work at a computer keyboard for extended periods of time
• Ability to stoop, kneel, bend at the waist, and reach daily
• Able to lift and move up to 25 pounds occasionally
• Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment
• Hours regularly 40 hours per week, as work dictates, from a remote office location
Benefits
This role is eligible for healthcare including medical, dental and vision, retirement savings (401k with a company match), income protection programs such as life, accident and disability insurance, paid time off for sick leave, vacation, bereavement, jury duty, and holidays, wellbeing program, commuter, adoption assistance, education assistance, legal services, and employee merchandise discounts. For more detailed information go Tailoredbrands.com/working-here/people-culture.
Work-Life Balance
We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs. We offer programs such as:
• Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development
• Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend
• Holiday Early Departure | close out early the business day before a company observed holiday
The starting salary for this position is $122,700 - $188,000. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $255,694. Other compensation may include a 10% Annual Incentive Plan (AIP) bonus paid out according to policy. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.
Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.

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