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Remote Risk Quant Jobs in Los Angeles, CA (NOW HIRING)

Remote Home Office - KMS Description The Wholesale Underwriter is responsible for reviewing and ... Assess risk factors associated with mortgage loans, including income verification, debt-to-income ...

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Remote Risk Quant information

See Los Angeles, CA salary details

$105.6K

$182.9K

$279.6K

How much do remote risk quant jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote risk quant in Los Angeles, CA is $182,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,900.00 and $214,400.00 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 the most commonly searched types of Risk Quant jobs in Los Angeles, CA?

The most popular types of Risk Quant jobs in Los Angeles, CA are:

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

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

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

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

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

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

Analytics Manager, Credit Cards

Sunbit

Los Angeles, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Description
Title: Analytics Manager, Credit Cards
Location: Remote
Reports To: Head of Business Analytics
The Company:
Sunbit builds financial technology for real life. Our AI-native platform helps more people get to "yes" at the moments that matter with personalized offers, transparent terms, and no added consumer fees. In stores, practices and service centers across the country, Sunbit provides a fast, fair pay-over-time option. For everything else, the Sunbit Credit Card delivers a modern, no-fee credit experience managed in a powerful mobile app.
We are guided by people-centered values: Serve Others Before Self, Include Always, Connect Genuinely, Innovate for Good. These values shape how we build, how we support customers and merchants, and how we work with each other.
What makes Sunbit different is an AI-native infrastructure that runs through the full customer and merchant journey. Our interconnected AI systems power instant decisioning, streamline fraud checks with human-in-the-loop safeguards, and enable highly personalized offers at scale. The result is a quick, fair, and simple experience for consumers and merchants.
We pair this technology with inclusion and transparency. Sunbit delivers industry-leading approval rates - 90%+ in auto service and 85%+ in dental - while maintaining zero consumer fee-based revenue. It is a better way to serve people and merchants, proven at scale.
Today, Sunbit is available across a nationwide, in-person merchant network of 30,000+ locations spanning auto service centers, dental and optical practices, veterinary clinics, and other specialty services. We help teams say "yes" more often and help customers move forward with confidence.
The Role:
We're looking for a highly analytical, hands-on Analytics Manager to lead analytics for Sunbit's Credit Card portfolio. This is a high-impact individual contributor role that sits at the intersection of Credit Risk, Portfolio Management, Fraud, Marketing, and Business Strategy.
Reporting directly to the Head of Analytics, you'll serve as the primary analytics partner for our Credit Card business-transforming complex data into actionable insights that influence product strategy, portfolio growth, risk management, and executive decision making.
Success in this role requires far more than technical expertise. We're looking for someone who naturally takes ownership, proactively identifies opportunities, independently partners across Engineering, Product, Credit Risk, Fraud and Business leadership, and helps drive decisions rather than simply reporting on them.
This role is ideal for someone with deep Credit Card analytics experience who enjoys operating in a fast-paced fintech environment where speed, business judgment, and execution matter.
Requirements
What You'll Do:
  • Be a catalyst to help the card business functions operate strategically using data.
  • Drive evaluation of competing priorities across business functions and appropriate disposition solutions that are right-sized and scalable.
  • Drive business growth by identifying new opportunities and hypothesis development using data across Credit Risk, Portfolio management, Fraud and marketing.
  • Independently manage cross-functional relationships across Product, Engineering, Operations, Credit Risk, and executive leadership.
  • Influence stakeholders through clear communication and data-driven recommendations.
  • Develop A/B test designs to implement a robust test and learn strategy.
  • Perform ad-hoc analysis ranging from open exploration data analysis to specific root cause analysis.
  • Analyze Credit Card engagement and credit performance and identify levers and patterns that can increase card usage and utilization.
  • Liaison with Data Engineering and Product to build sustainable and scalable data solutions to address business' current and future needs.
  • Own and manage BI reports becoming a focal point for business' data and analytics needs.
  • Leverage AI tools to accelerate analytical velocity and democratize data through self-service agents and tools.

What you'll bring:
  • 6+ years of experience in Analytics, Data Science, Decision Science, Credit Risk, or a related quantitative function.
  • Must have 4+ years supporting Credit Card portfolios, with deep experience in Credit Risk, Portfolio Management, Fraud Analytics, or Consumer Lending.
  • 4+ years of working with and proficient in SQL and excited about acquiring new technical skills.
  • 4+ years working with major BI platforms like Tableau or Sigma.
  • 2+ years of hands-on experience in using Python or R to solve analytical problems.
  • Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Analytics, or another quantitative field (Master's degree preferred).
  • Hands-on technically and excited to drive things end-to-end.
  • Passionate about solving real-world problems with data.
  • Have a growth mindset and take proactive ownership.
  • An 80/20 mindset-delivering meaningful business impact quickly while maintaining analytical quality.
  • Strong communication skills with the ability to simplify complex analytical findings.

Why Choose Sunbit?
Sunbit is recognized as one of the fastest-growing and most admired fintech companies, earning honors from Inc. 5000 (four consecutive years), Forbes Fintech 50, Deloitte Technology Fast 500, Financial Times, and FinTech Breakthrough for its innovation and impact. The company has also been featured among Newsweek's Most Loved Workplaces and CB Insights' Unicorn Companies, reflecting a valuation of $1.1B.
People choose Sunbit for its people-first culture rooted in service, inclusion, and real-world impact. Powered by AI that helps people in life's critical moments-offering high approvals, speed, and zero fees-Sunbit has achieved proven scale across tens of thousands of merchants and millions of transactions. Its fast, fair, and simple financial products empower consumers and partners alike through clarity and trust.
The Perks:
  • Mission driven, empowered, and collaborative culture
  • Competitive pay and stock options
  • Unlimited PTO
  • Comprehensive health benefits (Medical, Dental, Vision, Life, EAP, Parental Leave, HSA, & more)
  • Newly added HSA and Pet Insurance
  • 401(k) with company match
  • Cell Phone Stipend
  • Team-based strategic planning and ownership of deliverables

Sunbit is an Equal Opportunity Employer. We strive to provide a professional & welcoming workplace for all employees.
Recruitment Fraud Disclaimer
We've been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from a @sunbit.com email address, through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at hr@sunbit.com to confirm.
We ask that you contact hr@sunbit.com only about potential instances of fraud. hr@sunbit.com does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications, we will not respond to nor forward emails about your candidacy that are sent to hr@sunbit.com directly, and your email about your application will be deleted from our systems.