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

Climate Imperative Foundation

Controller

San Francisco, CA · On-site +1

$145K - $155K/yr

S. Remote REPORTS TO: Chief Financial Officer POSITION SUMMARY The Controller leads the ... High organizational and quantitative skills * Demonstrated ability to prioritize and be flexible in ...

Climate Imperative Foundation

Controller

San Francisco, CA · On-site +1

$145K - $155K/yr

S. Remote REPORTS TO: Chief Financial Officer POSITION SUMMARY The Controller leads the ... High organizational and quantitative skills * Demonstrated ability to prioritize and be flexible in ...

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Remote Risk Quant information

See Berkeley, CA salary details

$120K

$207.8K

$317.7K

How much do remote risk quant jobs pay per year?

As of May 30, 2026, the average yearly pay for remote risk quant in Berkeley, CA is $207,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $164,700.00 and $243,700.00 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 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 Remote Risk Quants?

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 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 Berkeley, CA? For Remote Risk Quant jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Risk Quant jobs in Berkeley, CA look for? The top searched job categories for Remote Risk Quant jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Risk Quant jobs? Cities near Berkeley, CA with the most Remote Risk Quant job openings:
Remote Risk Quant jobs near you
Product Intelligence & Data Analytics Manager

Product Intelligence & Data Analytics Manager

Baton (A Ryder Technology Lab)

San Francisco, CA • Remote

Full-time

Posted 12 days ago

Job description

Who We Are

Baton is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy.

We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world's most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder.

Baton's mission: enable supply chain on autopilot.

Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here.

Basic Job Details

Role: Product Intelligence & Data Analytics Manager

Job Type: Full Time

Work Model: Remote

Location: United States

Job Description

We are seeking a Product Intelligence & Data Analytics Manager who will own product analytics, KPI frameworks, and executive-ready insight generation across RyderShare and related technology products.

This role sits at the intersection of Product, Engineering, Customer Success, and Sales Enablement - translating product usage data, Voice of Customer inputs, and competitive signals into structured narratives, measurable KPIs, and clear business decisions.

This is an insight ownership role. You will define what we measure, how we measure it, and how we translate insight into action.

Responsibilities

Product Analytics & KPI Framework Ownership

  • Own RyderShare product analytics end-to-end, including adoption, activation, retention, feature utilization, and operational effectiveness.
  • Define and maintain core product KPIs aligned to customer value and business outcomes.
  • Ensure KPI consistency, accuracy, and executive trust across dashboards and reporting layers.
  • Partner with Product Managers to evaluate feature performance and inform roadmap prioritization using outcome-focused insights.

Executive Insight & Data Storytelling

  • Translate complex product usage, customer behavior, and market signals into clear narratives explaining what is happening, why it matters, and what to do next.
  • Move stakeholders beyond descriptive reporting toward recommended actions.
  • Design and maintain executive-ready dashboards and structured insight narratives.
  • Proactively surface risks, trends, opportunities, and recommended decisions across product and customer performance.

Customer & Competitive Intelligence

  • Tie product usage and adoption data to operational outcomes, customer health, renewals, and growth conversations.
  • Synthesize quantitative analytics with Voice of Customer inputs and qualitative insights.
  • Maintain visibility into competitive dynamics and identify differentiation opportunities or risk areas.
  • Provide account-level and market-level analysis to support cross-functional decision-making.

Cross-Functional Influence & Execution

  • Drive analysis projects from ambiguous problem definition through structured delivery.
  • Influence Product, Engineering, Customer Success, and Sales without direct authority.
  • Build and scale a structured Product Intelligence capability within Customer Success Enablement.
Who You AreRequired Qualifications
  • Product Analytics Expertise & In-Depth Insights
    • 3-5+ years of hands-on experience in product analytics within SaaS or technology-enabled environments.
    • Strong ability to extract insights from product usage, engagement, activation, retention, and feature adoption data.
    • Experience defining and maintaining KPI frameworks aligned to customer and business outcomes.
  • Data Storytelling Capability
    • Ability to translate complex product, data, and market signals into clear narratives and directional strategy.
    • Can present findings to both technical and non-technical audiences, including executive stakeholders.
    • Moves stakeholders beyond descriptive reporting toward recommended actions.
    • Demonstrated ability to ramp quickly on new domains and complex industries.
  • Project Management & Stakeholder Management
    • Experience managing cross-functional stakeholders across Product, Engineering, Customer Success, and Sales.
    • Ability to drive analysis projects from ambiguous problem definition through execution and delivery.
    • Strong cross-functional influence without direct authority.
  • Data Fluency & BI Execution
    • Strong SQL proficiency with the ability to independently structure, clean, validate, and analyze data from multiple sources (including Snowflake or similar cloud data warehouses).
    • Experience building and maintaining trusted dashboards in Power BI (or similar BI tools), ensuring KPI accuracy and consistency across reporting layers.
    • Experience working within structured data warehouse environments and handling data across multiple systems (VoC, CRM, product usage platforms).
Preferred Qualifications
  • 5-8+ years in product analytics, business intelligence, or data analytics within SaaS or technology-enabled environments.
  • Experience synthesizing quantitative product analytics with Voice of Customer (VoC), customer feedback, and qualitative market signals.
  • Experience contributing to competitive positioning, differentiation analysis, or market intelligence initiatives.
  • Background in B2B enterprise SaaS, logistics, freight, supply chain, or operationally complex platforms.
  • Experience operating within organizations with established analytics maturity and standardized KPI frameworks.
  • Exposure to cross-functional enablement work supporting Customer Success, Sales, and executive teams.

Compensation Range: The annual base salary range for this position is $90,000 - $140,000*. Compensation will vary based on factors including location, skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, this role is eligible for an annual performance bonus.

Why You Should Join
  • Have an immediate impact:
    • With Ryder's existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one.
  • Opportunity to grow and lead in a Fortune 500 company:
    • You'll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team.
  • Creative, fast-paced environment to solve impactful problems in Supply Chain:
    • We're going to design completely new tools for an industry that hasn't been rethought in decades. And to do this, we need people who think differently.