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Volunteer Risk Quant Jobs in New York (NOW HIRING)

Octane

Senior Analyst, Risk Strategy

New York, NY · Hybrid

$85K - $115K/yr

Bachelor's degree, ideally in a quantitative field such as applied math, statistics, econometrics ... Life Insurance (Basic, Voluntary & AD&D) * Short Term / Long Term Disability * Robust Ancillary ...

Octane

Senior Analyst, Risk Strategy

New York, NY · On-site

$85K - $115K/yr

Bachelor's degree, ideally in a quantitative field such as applied math, statistics, econometrics ... Life Insurance (Basic, Voluntary & AD&D) * Short Term / Long Term Disability * Robust Ancillary ...

BNY

Director, Credit Risk Review

Manhattan, NY · On-site

... quantitative/analytical field. * Advanced degree (e.g., MBA, MS in Finance/Risk) and/or relevant ... volunteer time, that can support you and your family through moments that matter. BNY is an Equal ...

BNY Mellon

Director, Credit Risk Review

Manhattan, NY · On-site

... quantitative/analytical field. * Advanced degree (e.g., MBA, MS in Finance/Risk) and/or relevant ... volunteer time, that can support you and your family through moments that matter. BNY is an Equal ...

Octane

Manager, Credit Risk Strategy

New York, NY · On-site

$110K - $150K/yr

Requirements: * A Bachelor's degree in a quantitative field such as statistics, econometrics ... Life Insurance (Basic, Voluntary & AD&D) * Short Term / Long Term Disability * Robust Ancillary ...

Octane

Manager, Credit Risk Strategy

New York, NY · On-site

$110K - $150K/yr

Requirements: * A Bachelor's degree in a quantitative field such as statistics, econometrics ... Life Insurance (Basic, Voluntary & AD&D) * Short Term / Long Term Disability * Robust Ancillary ...

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Volunteer Risk Quant information

What is the difference between Volunteer Risk Quant vs Volunteer Data Analyst?

AspectVolunteer Risk QuantVolunteer Data Analyst
Required CredentialsBackground in risk modeling, statistics, or quantitative analysisProficiency in data analysis, statistics, and data visualization tools
Work EnvironmentNon-profit or volunteer organizations focusing on risk assessmentVarious sectors including non-profits, research, or community projects
Employer & Industry UsageUsed in organizations assessing volunteer safety and risk factorsUsed in organizations analyzing volunteer data for insights and improvements

The main difference is that Volunteer Risk Quant focuses on assessing and modeling risks associated with volunteer activities, requiring expertise in risk analysis and quantitative methods. Volunteer Data Analysts primarily analyze volunteer data to generate insights, often with broader data skills. Both roles support volunteer programs but serve different analytical purposes.

What are the main challenges faced by a volunteer risk quant when working with nonprofit organizations?

As a Volunteer Risk Quant, one of the primary challenges is adapting sophisticated quantitative models to environments with limited data and resources, which is common in nonprofit organizations. You may also encounter varying levels of financial literacy among team members, requiring clear communication of complex risk concepts. Additionally, balancing rigorous risk analysis with the practical needs and constraints of the organization can be demanding, but it offers a unique opportunity to make a tangible impact. Close collaboration with finance, operations, and leadership teams is essential to ensure your insights are actionable and aligned with organizational goals.

What is a volunteer risk quant?

Volunteer Risk Quants are individuals who offer their quantitative risk analysis skills on a volunteer basis, typically to organizations or causes that need help assessing and managing financial or operational risks. They use mathematical models and statistical techniques to evaluate the likelihood and potential impact of various risks. These volunteers often help nonprofits, startups, or community projects that may not have the resources to hire full-time risk analysts. Their work can include data analysis, creating risk models, and advising on risk mitigation strategies. By volunteering, they contribute their expertise to support organizations in making informed, data-driven decisions.

What are the key skills and qualifications needed to thrive as a volunteer risk quant?

To thrive as a Volunteer Risk Quant, you need strong quantitative analysis skills, a solid understanding of financial risk modeling, and typically a degree in mathematics, finance, or a related field. Familiarity with statistical software, programming languages like Python or R, and risk management systems such as Value at Risk (VaR) tools is commonly required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies ensure accurate risk assessments and help organizations make informed decisions to mitigate financial risks.
What are the most commonly searched types of Risk Quant jobs in New York? The most popular types of Risk Quant jobs in New York are:
What are popular job titles related to Volunteer Risk Quant jobs in New York? For Volunteer Risk Quant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Volunteer Risk Quant jobs in New York look for? The top searched job categories for Volunteer Risk Quant jobs in New York are:
What cities in New York are hiring for Volunteer Risk Quant jobs? Cities in New York with the most Volunteer Risk Quant job openings:
Volunteer Risk Quant jobs near you
Infographic showing various Volunteer Risk Quant job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Quantitative Developer - Securitized Products

Clearwater Analytics

New York, NY • On-site, Remote

$156K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Quantitative Developer - Securitized Products

Clearwater Analytics | Location : NY

About Clearwater Analytics

Clearwater Analytics is the leading SaaS platform for investment accounting, risk, and performance. We serve some of the world's largest insurance companies, hedge funds, asset managers, and institutional investors. We deliver decision-ready risk analytics that bring clarity and insight to multi-asset portfolios-highlighting exposures, sensitivities, scenarios, and performance drivers.

The Role

As a Securitized Products Quantitative Developer, you will play a critical role within the Quant team, helping to enhance and expand our structured products coverage across ABS, CLO, MBS, CMBS, and related asset classes. You will work closely with cross-functional teams of developers and interact directly with clients to deliver solutions focused on valuation accuracy, risk analytics, and cash flow modeling. Your contributions will drive the continuous improvement of our platform's structured products capabilities - from model development through production deployment.

What You'll Do

  • Develop and maintain pricing libraries and analytical models for securitized products including ABS, CLO, MBS, CMBS, and other structured credit instruments

  • Build, extend, and maintain frameworks within the platform supporting securitized product lifecycle management, including cash flow generation, prepayment modeling, credit enhancement structures, and tranche-level analytics

  • Implement and maintain risk analytics covering interest rate sensitivities (DV01, duration, convexity), spread risk, scenario analysis, and stress testing across structured product portfolios

  • Design and develop models for prepayment, default, and loss severity - calibrated to market conventions and client-specific requirements

  • Identify and advocate for new models and design patterns necessary for the continuous improvement of an evolving infrastructure to support all clients

  • Produce high-quality documentation targeting both technical and non-technical audiences, supporting and expanding engineering solutions

What We're Looking For

  • 1-3 years of experience in quantitative development with a focus on securitized or structured products

  • Strong understanding of structured product mechanics - deal structures, waterfall logic, cash flow prioritization, credit enhancement, and tranche-level risk

  • Familiarity with prepayment models (e.g., PSA, CPR) and credit risk frameworks applicable to ABS, MBS, CMBS, and CLO structures

  • Experience developing production-quality code, preferably in Python, with a strong software engineering foundation

  • Strong problem-solving and communication skills - ability to convey technical topics clearly to both technical and non-technical audiences

What Will Make You Stand Out

  • Experience in a front office or structured products development role supporting valuation, risk analytics, or portfolio analytics for securitized products

  • Hands-on experience building or maintaining pricing and risk systems in a production environment

  • Familiarity with relevant market data sources (Bloomberg, Intex, Trepp, MSCI, or similar) and structured product reference data

  • Experience with interest rate modeling (e.g., Hull-White, short rate models) as it applies to structured product valuation

  • Prior experience working directly with clients to customize platforms, integrate models, or develop technical solutions

What We Offer

  • Business casual atmosphere in a flexible working environment

  • Team-focused culture that promotes innovation and ownership

  • Access to cutting-edge investment reporting technology and expertise

  • Defined and undefined career pathways allowing you to grow your own way

  • Competitive medical, dental, vision, and life insurance benefits

  • Maternity and paternity leave

  • Personal Time Off and Volunteer Time Off to give back to the community

  • RSUs as well as employee stock purchase plan and 401K with match

  • Work from anywhere 3 weeks out of the year

  • Work from home Fridays

Salary Range

156,400.00 - 210,841.00 USD Annual

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Salary Range

$156,400.00 - $210,841.00

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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