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Volunteer Risk Quant Jobs in Illinois (NOW HIRING)

Doist

Senior Data Scientist - Fraud (Hybrid)

Chicago, IL · On-site

$96 - $125/hr

As a Senior Data Scientist on Enova's Fraud Analytics team, you'll be the quantitative engine of ... Help improve underwriting and verification processes from a fraud-risk perspective * Apply AI in ...

Enova International

Analytics Analyst - Fraud

Chicago, IL · On-site

$63K - $83K/yr

... risk perspective Requirements: * A Bachelor's degree in a quantitative field (Statistics ... Charitable matching and a paid volunteer day...Plus so much more! About Enova Enova International ...

DV Trading

Relative Value Trader

Chicago, IL

$200K/yr

Sharp quantitative instincts, strong market intuition, and disciplined risk management * A self ... Voluntary LTD, Life & AD&D insurance * Flexible vacation policy * Retirement plan with employer ...

DV Trading

Relative Value Trader

Chicago, IL · On-site

$200K/yr

Sharp quantitative instincts, strong market intuition, and disciplined risk management * A self ... Voluntary LTD, Life & AD&D insurance * Flexible vacation policy * Retirement plan with employer ...

DV Trading

Relative Value Trader

Chicago, IL · On-site

$200K/yr

Sharp quantitative instincts, strong market intuition, and disciplined risk management * A self ... Voluntary LTD, Life & AD&D insurance * Flexible vacation policy * Retirement plan with employer ...

Amrize

Production Technician I

Grand Chain, IL · On-site

$14.50 - $18/hr

... risk assessments. Perform duties in a safe manner abiding by the plant safety policies ... Vision and other Voluntary benefits and discounts * Paid time off & paid holidays * Paid Parental ...

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All JobsVolunteer Risk Quant JobsVolunteer Risk Quant Jobs in Illinois

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 Illinois? The most popular types of Risk Quant jobs in Illinois are:
What are popular job titles related to Volunteer Risk Quant jobs in Illinois? For Volunteer Risk Quant jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Volunteer Risk Quant jobs in Illinois look for? The top searched job categories for Volunteer Risk Quant jobs in Illinois are:
What cities in Illinois are hiring for Volunteer Risk Quant jobs? Cities in Illinois with the most Volunteer Risk Quant job openings:
Volunteer Risk Quant jobs near you

Senior Data Scientist - Fraud (Hybrid)

Enova International

Chicago, IL • On-site, Remote

$96K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
Staying a step ahead of fraudsters takes an inquisitive mind, an appetite to dig deeper, and the imagination to shed new light on how we fight fraud - and here, it all starts with data. As a Senior Data Scientist on Enova's Fraud Analytics team, you'll be the quantitative engine of our fraud prevention effort. You'll develop, enhance, and test the models and pattern-recognition pipelines that surface emerging fraud trends across our lending products - then work hand-in-hand with our Fraud Operations team, who investigate the individual applications your models flag. Their findings (the false positives and false negatives) come back to you to sharpen the identifying characteristics and pivot the approach. It's a fast, iterative loop, and you sit at the center of it.
The broader Enova Analytics department consists of 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value: providing customers with access to fast, trustworthy credit while managing risk. Our company-wide, data-driven culture means you spend less time presenting and more time on the fun part: crunching data.
Key responsibilities:
  • Develop, deploy, and monitor models and pattern-recognition algorithms to detect emerging and shifting fraud trends across one or more lending products
  • Write customized programs in Python for meaningful data analysis and predictive modeling, and query large, complex datasets in SQL
  • Partner closely with Fraud Operations through the full detection loop - pulling data together, surfacing suspicious patterns, and incorporating their investigation results to refine features and reduce false positives/negatives
  • Conduct ad hoc analysis on large, complex datasets to scope new or changing fraud trends and recommend risk, verification, and operational strategies
  • Communicate findings clearly to cross-functional partners, provide requirements, and support implementation
  • Help improve underwriting and verification processes from a fraud-risk perspective
  • Apply AI in production applications to streamline fraud prevention processes
  • Mentor and develop team members, and help coordinate their work with business priorities.

Requirements:
  • 4+ years of experience in analytics, applied machine learning, or quantitative modeling
  • Hands-on fraud experience required - fraud analytics, fraud strategy, or risk modeling, ideally in fintech or lending
  • Advanced Python and SQL; experience owning models end-to-end - design through deployment and monitoring - on large-scale transactional data
  • Track record of translating analysis into business strategy and communicating with senior stakeholders
  • Aspiration to grow into a people leadership role through mentoring teammates, driving team initiatives, and shaping priorities.

Compensation:
The budgeted annual salary range for this position is$96,000 to $125,000 Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.
Benefits & Perks:
  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day...Plus so much more!

About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here.
It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

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