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Manager Risk Analytics Jobs (NOW HIRING)

Extend

Manager, Risk Analytics

$160K - $180K/yr

You'll join our centralized Risk, Analytics & Data Science team as a Manager, to serve as the most senior technical voice in the Risk Analytics function as well as the leading member to help build ...

Extend

Manager, Risk Analytics

$160K - $180K/yr

You'll join our centralized Risk, Analytics & Data Science team as a Manager, to serve as the most senior technical voice in the Risk Analytics function as well as the leading member to help build ...

Yamaha

Risk & Analytics Manager

Marietta, GA

Yamaha Motor Finance US has an exciting opportunity for a strong Risk & Analytics Manager to lead strategic analysis within the Analytics Center of Excellence. Responsibilities include, but are not ...

Yamaha

Global Risk & Analytics Manager

Cypress, CA · Hybrid

$110K - $150K/yr

This Global Risk & Analytics Manager will be primarily responsible for leading Strategic Analysis activities in the Analytics Center of Excellence for YMFC GRC function covering all regions in the ...

IDBNY

Credit Risk Analytics & Modeling

Manhattan, NY · On-site

Risk Management / Credit Risk Management Location: New York, NY (Hybrid - 3 days in office) Employment Type: Full-time Reports to: Head of Credit Risk Analytics & Modeling Visa Sponsorship: Not ...

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Manager Risk Analytics information

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$51.5K

$111.6K

$170K

How much do manager risk analytics jobs pay per year?

As of Aug 25, 2026, the average yearly pay for manager risk analytics in the United States is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What does a manager risk analytics do?

A Manager of Risk Analytics leads a team responsible for analyzing data to identify, assess, and mitigate risks within an organization. They develop risk models, oversee the implementation of analytics tools, and provide insights that help guide business decisions. Their work helps organizations manage financial, operational, and strategic risks more effectively. Additionally, they often collaborate with other departments to ensure risk management strategies align with overall business goals.

What are the key skills and qualifications needed to thrive as a manager risk analytics?

To thrive as a Manager Risk Analytics, you need strong quantitative analysis skills, expertise in risk modeling, and a background in finance, statistics, or a related field—often supported by an advanced degree. Proficiency with statistical software (such as SAS, R, or Python), risk management systems, and relevant certifications like FRM or CFA is typically required. Exceptional leadership, communication, and problem-solving skills help you guide teams and translate complex data into actionable insights for stakeholders. These abilities are critical for accurately assessing risks, informing business decisions, and ensuring regulatory compliance.

How does a manager risk analytics typically collaborate with other departments within an organization?

A Manager of Risk Analytics works closely with teams across the organization, such as finance, compliance, operations, and IT, to identify and mitigate potential risks. This role involves communicating complex analytical findings in an understandable way to non-technical stakeholders and supporting informed decision-making. Regular collaboration ensures that risk models and strategies align with business objectives and regulatory requirements. Effective teamwork and cross-departmental communication are essential to implementing robust risk management solutions.

What is the difference between Manager Risk Analytics vs Risk Analyst?

AspectManager Risk AnalyticsRisk Analyst
CredentialsBachelor's or Master’s in Finance, Economics, or related field; professional certifications like FRM or CFABachelor's degree in Finance, Economics, or related field; some certifications preferred
Work EnvironmentLeads teams, manages risk projects, strategic planningAnalyzes data, prepares reports, supports risk management processes
Industry UsageUsed across banking, insurance, investment firmsCommon in financial services, corporate risk departments

The main difference is that a Manager Risk Analytics oversees risk teams and strategic initiatives, while a Risk Analyst focuses on data analysis and reporting. Both roles require similar credentials and are integral to risk management, but the manager has additional leadership responsibilities.

Do risk managers make good money?

Risk managers typically earn competitive salaries that vary based on experience, industry, and location. According to industry data, median annual pay ranges from $80,000 to over $130,000, with senior roles and certifications like FRM or CRM often commanding higher compensation.

Is manager risk analytics a good career?

Manager risk analytics is a specialized role focused on assessing and managing financial or operational risks within organizations. It typically requires strong analytical skills, knowledge of risk management tools, and relevant certifications such as FRM or CFA. The role offers opportunities for advancement and high demand in industries like finance, insurance, and consulting.
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Manager Risk Analytics jobs near you
Infographic showing various Manager Risk Analytics job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $111,556 per year, or $53.6 per hour.

Manager, Risk Analytics

Remote

Extend
See more jobs at Extendexternal

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

About Extend:
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:
You'll join our centralized Risk, Analytics & Data Science team as a Manager, to serve as the most senior technical voice in the Risk Analytics function as well as the leading member to help build the entire function / team. You'll have full ownership of the Risk Function of Extend: the pricing methodology we standardize on, the risk framework leadership uses to make portfolio decisions, and the technical bar for the function as a whole.
This is a Manager-track role. You will be responsible for growing and building the team - setting standards, mentoring Lead and senior data scientists, and representing Risk Analytics in rooms where the biggest merchant deals and program decisions get made. You'll be accountable not just for your own analyses being right, but for the function's methodology being sound.
We've invested heavily in modern data infrastructure and AI tooling, and we want someone who's excited to actually use them. If you want the scope and influence of a manager with the hands-on depth of an IC, this role is for you.
What You Will Be Doing:
As the technical leader as well as a people manager, you will
  • Set the pricing methodology, not just the price. Pricing the risk premium accurately is essential for Extend's economics. You'll not only lead the pricing initiatives but also define how Extend prices - the frameworks, validation standards, and guardrails that make every new-category premium defensible, especially when data is thin.
  • Own the risk strategy conversation with senior leadership. You'll be the C-suite's counterpart on portfolio health: not just explaining why the loss ratio moved, but recommending which programs to reprice, renegotiate, or exit - and defending the trade-offs. Your recommendations move real dollars.
  • Turn a monitoring function into a decision engine. We know what our loss ratios are. You'll design the decision systems - which claims initiatives to pursue, which premiums to adjust, which programs to renegotiate - and drive them from analysis to adopted business process.
  • Architect the data foundation for Risk Analytics. We have dbt and Snowflake. You'll own the design of the Risk Analytics layer on top of it: the data models, the standards, and the roadmap that shapes how this function works for the next several years - and you'll bring the team along on it.
  • Raise the floor for the whole team. Mentor Lead and senior data scientists, review the work that matters most, and drive AI-native ways of working so the entire function produces more, faster, at a higher standard. You'll have latitude to experiment and the expectation that you will.
What We're Looking For:
  • 8+ years of experience in actuarial pricing, predictive modeling, or other Risk Analytics related areas, with a track record of owning methodology or strategy
  • Strong analytical and data skills spanning SQL, Python or R, pipeline development and data modeling (dbt, Snowflake), and visualization tools such as Tableau or Streamlit
  • Demonstrated experience mentoring senior analysts or data scientists and raising a team's technical bar without formal authority
  • Ability to dive deep into data and communicate insights to audiences of all backgrounds, including the C-suite and teams with less data & analytics experience
  • Relevant Actuarial experience (such as Associate of the Casualty Actuarial Society (ACAS) or equivalent exam experience) preferred but not required
  • Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how they can help improve our day-to-day efficiency
  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field
  • Ability and interest in thinking beyond the insurance organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential
  • Empathy, humility, and curiosity

Expected Pay Range: $160,000 - $180,000 per year salaried*
* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.
Extend does not provide immigration-related sponsorship for this role.
Life at Extend:
  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

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