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Internship Risk Quant Jobs in Munster, IN (NOW HIRING)

TransMarket Group

Algorithmic Trader Intern

Chicago, IL · On-site

$15.50 - $20.50/hr

We use next-generation technology to capture opportunities around the world and manage risk in ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

TransMarket Group

Algorithmic Trader Intern

Chicago, IL

$15.50 - $20.50/hr

We use next-generation technology to capture opportunities around the world and manage risk in ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

Enova International

Analytics Analyst - Fraud

Chicago, IL · On-site

$63K - $83K/yr

... risk perspective Requirements: * A Bachelor's degree in a quantitative field (Statistics ... Solid programming skills for data analysis - demonstrated through work, internships, coursework, or ...

TransMarket Group

Junior Algorithmic Trader

Chicago, IL

$69K - $89K/yr

We use next-generation technology to capture opportunities around the world and manage risk in ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

TransMarket Group

Junior Algorithmic Trader

Chicago, IL · On-site

$69K - $89K/yr

We use next-generation technology to capture opportunities around the world and manage risk in ... Project or internship experience in data analysis, quantitative modeling and/or machine learning

Lockton

Actuarial Analyst

Chicago, IL · On-site

... quantitative field. • 2+ years of health benefits experience at a brokerage/consulting firm or ... or risk concepts preferred (job, school coursework and internship experience all accepted). • ...

Lockton Companies

Actuarial Analyst

Chicago, IL

Strong analytical and quantitative skills with an interest in actuarial career progression ... risk concepts preferred (job, school coursework and internship experience all accepted). Strong ...

Lockton, Inc.

Actuarial Analyst

Chicago, IL · On-site

... quantitative field. • 2+ years of health benefits experience at a brokerage/consulting firm or ... or risk concepts preferred (job, school coursework and internship experience all accepted). • ...

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All JobsRisk Quant JobsInternship Risk Quant JobsInternship Risk Quant Jobs in Munster, IN

Internship Risk Quant information

What are the key skills and qualifications needed to thrive as an internship risk quant, and why are they important?

To thrive as an Internship Risk Quant, you typically need strong quantitative skills, a solid background in mathematics, statistics, or finance, and progress towards a relevant degree such as in quantitative finance or a related field. Familiarity with programming languages like Python, R, or MATLAB, as well as experience with risk management systems and financial modeling tools, is highly valued. Attention to detail, analytical thinking, and effective communication skills help interns collaborate and present complex findings clearly. These capabilities are critical for analyzing risk data accurately and supporting decision-making in dynamic finance environments.

What is an internship risk quant?

Internship Risk Quants are students or recent graduates who take on temporary roles within financial institutions to assist with quantitative analysis related to risk management. Their main responsibilities include analyzing financial data, developing risk models, and helping identify potential risks for the company. These internships provide hands-on experience with statistical tools, programming, and risk assessment in real-world finance environments. The goal is to prepare interns for full-time quantitative risk analyst roles after graduation.

What is the difference between Internship Risk Quant vs Risk Analyst?

AspectInternship Risk QuantRisk Analyst
Required CredentialsTypically pursuing or recent graduate, some quantitative courseworkBachelor's or master's in finance, economics, or related field; certifications like FRM or CFA often preferred
Work EnvironmentInternship setting, often in financial institutions or asset management firmsFull-time role in banks, hedge funds, or investment firms
Industry UsageCommonly used for entry-level or internship positions in risk managementEstablished role for ongoing risk assessment and management

The main difference is that an Internship Risk Quant is an entry-level, temporary position aimed at gaining experience, while a Risk Analyst is a full-time professional role responsible for ongoing risk evaluation within financial organizations.

What types of projects does an internship risk quant typically work on, and how do these projects contribute to the overall risk management strategy of the firm?

Risk Quant interns often work on projects involving data analysis, model validation, and the development of risk assessment tools under the guidance of senior quants. These projects may include tasks such as back-testing risk models, analyzing large datasets to identify potential risk exposures, and automating reporting processes. By contributing to these initiatives, interns help improve the firm's ability to measure and manage financial risks, gaining practical experience with real-world quantitative finance tools and methodologies. Collaboration with teams like trading, risk management, and IT is common, offering interns broad exposure to how quantitative analysis supports strategic decision-making in the organization.
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Internship Risk Quant jobs near you

Analytics Analyst - Fraud

Enova International

Chicago, IL

$63K - $83K/yr

Full-time

Posted 18 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 an Analyst 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
Requirements:
  • A Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or similar) or equivalent experience
  • Solid programming skills for data analysis - demonstrated through work, internships, coursework, or personal projects
  • Working knowledge of relational databases (SQL)
  • Foundational knowledge of statistical methods and machine learning
  • Comfort using AI tools to improve your workflow and delivery
  • Strong problem-solving instincts and a naturally inquisitive, dig-deeper mindset
  • Prior experience is not required; fraud, fintech, or lending exposure is a plus, interest in them is a must

Compensation:

This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. 

Budgeted annual salary ranges:

Analytics Analyst I: $63,000 - $83,000
Analytics Analyst II: $75,000 - $95,000

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.

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