1

Volunteer Risk Quant Jobs in California (NOW HIRING)

AVP, AI Risk and Governance

San Diego, CA · On-site +1

$117K - $195K/yr

Strong analytical skills, both quantitative and qualitative, with high attention to detail and ... volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

VP, ALM Officer

El Monte, CA · On-site

$148K - $175K/yr

... rate risk measurement, and balance sheet analytics. * Strong analytical, quantitative, and ... company contributions, voluntary coverages, and 401(k). Cathay Bank may collect personal ...

In this role, you will collaborate closely with Risk Management, FP&A, and Servicing teams, and ... Design and implement quantitative frameworks spanning data mining, predictive modeling, and large ...

next page

Showing results 1-20

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 are Volunteer Risk Quants?

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, and why are they important?

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 California? The most popular types of Risk Quant jobs in California are:
What job categories do people searching Volunteer Risk Quant jobs in California look for? The top searched job categories for Volunteer Risk Quant jobs in California are:
What cities in California are hiring for Volunteer Risk Quant jobs? Cities in California with the most Volunteer Risk Quant job openings:
AVP, AI Risk and Governance

AVP, AI Risk and Governance

LPL Financial

San Diego, CA • On-site, Remote

$117K - $195K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago


LPL Financial rating

7.5

Company rating: 7.5 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

115th of 148 rated financial services


Job description

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. Fromcutting-edgeresources and a collaborative environment to the freedom to make an impact and more,you'llfind the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview:

At LPL Financial, we are seeking a dynamic and highly analytical Assistant Vice President (AVP) to join our Artificial Intelligence (AI) Risk and Governance team. The AVP plays a key role in the enterprise AI governance program, accountable for assessing and overseeing AI risk across LPL's business functions, maintaining a robust and defensible governance framework, and collaborating across functions to enable responsible AI adoption at pace. This role involves managing and establishing AI governance frameworks, performing risk assessments, and ensuring compliance with regulatory requirements. With a strong analytical background, the AVP will collaborate with technology stakeholders to support a robust risk culture. The ideal candidate has a strong background in enterprise, technology and model risk management frameworks.

Roles & Responsibilities:

  • Support in maintaining and evolving the AI governance framework, policies and standards in alignment with current and emerging regulatory landscape and frameworks.
  • Conduct risk assessments and gap analyses on AI solutions to identify and evaluate risks and ensure compliance with internal policies and external regulations.
  • Evaluate solutions for AI governance practices such as bias mitigation techniques and explainability methodologies.
  • Define and challenge control expectations for AI development and deployment, including cybersecurity and broader technology governance processes
  • Assist in establishing and overseeing AI risk governance frameworks, including control frameworks, governance standards, policy development and committee management.
  • Collaborate with cross functional teams to ensure AI models align with AI risk frameworks and requirements.
  • Ensure adherence to industry best practices, such as NIST AI Risk Management Framework, ISO AI standards as well as emerging AI regulations.
  • Produce and support the production of materials for executive-level risk and governance committees.
  • Coordinate across risk and business stakeholders to ensure framework consistency.
  • Support the creation of AI related training, communications and awareness campaigns.
  • Adapt to the evolving needs of business partners and changes within the Risk & Compliance organization.

What are we looking for?

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidatespursue greatness, act with integrity, and aredriven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where wewin togetherandcreate and share joyin our work.

Requirements:

  • Bachelor's degree in computer science, Engineering, Risk Management, Economics, Finance, or a related discipline.
  • 5-8+ years in risk management or compliance-related roles within financial services
  • Experience with AI Risk and Governance

Core Competencies:

  • Strong analytical skills, both quantitative and qualitative, with high attention to detail and accuracy. Advanced level understanding of AI technologies, models and operational risks in the use of AI systems.
  • Excellent written and verbal communication skills, with experience preparing executive-level presentations.
  • Strong problem-solving skills with the ability to evaluate business opportunities and results against established objectives.
  • Ability to drive change and facilitate critical thinking to create solutions for complex business challenges.
  • In-depth knowledge of AI-related regulations, standards and industry best practices, such as the NIST AI Risk Management Framework and ISO AI standards is preferred.

Preferences:

  • Relevant certifications such as Certified Information Systems Security Professional (CISSP), Certified Risk Management Professional (CRMP), or similar are a plus.

Pay Range:

$117,214.00 - $195,288.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Company Overview:

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.


At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.


For further information about LPL, please visit www.lpl.com.


Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.


Information on Interviews:

LPL will only communicate with a job applicant directly from an@lplfinancial.comemail address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at(855) 575-6947.


EAC 5.19.26


What LPL Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom