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Internship Quantitative Risk Modeler Jobs in St Louis, MO

US Bank

Fraud Risk Analyst

Saint Louis, MO · On-site

... and model adjacent analytics; identify control gaps and recommend targeted enhancements. Drive ... another quantitative field. Extensive data analytics experience in fraud analytics, fraud ...

Lockton Companies

Actuarial Analyst

Saint Louis, MO

Utilize actuarial and financial modeling tools to estimate the potential impact of health plan ... risk concepts preferred (job, school coursework and internship experience all accepted). Strong ...

Lockton

Actuarial Analyst

Saint Louis, MO · On-site

... modeling; partner with client service teams to review findings and trends. • Assist in delivery ... or risk concepts preferred (job, school coursework and internship experience all accepted). • ...

Varsity Tutors

Business Statistics Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... models while preparing students for data-driven business strategy and MBA quantitative coursework ... risk analysis. * Curriculum Awareness & Adaptive Instruction: Familiar with business statistics ...

Wood Plc

GIS Analyst - FEMA

Ballwin, MO · Remote

... flood risk analysis, mapping, and related services on Federal Emergency Management Agency (FEMA ... Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ...

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All JobsQuantitative Risk Modeler JobsInternship Quantitative Risk Modeler JobsInternship Quantitative Risk Modeler Jobs in St. Louis, MO

Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

What are popular job titles related to Internship Quantitative Risk Modeler jobs in St. Louis, MO? For Internship Quantitative Risk Modeler jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Internship Quantitative Risk Modeler jobs in St. Louis, MO look for? The top searched job categories for Internship Quantitative Risk Modeler jobs in St. Louis, MO are:
Internship Quantitative Risk Modeler jobs near you
Infographic showing various Internship Quantitative Risk Modeler job openings in St. Louis, MO as of July 2026, with employment types broken down into 2% Internship, 74% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Derivatives Quantitative Trading Analyst, Portfolio Management

NISA Investment Advisors, LLC

Clayton, MO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Derivatives Quantitative Trading Analyst, Portfolio Management
Overview

NISA Investment Advisors, LLC (NISA) partners with world-leading organizations to design, develop, and manage highly customized, risk-controlled investment strategies across fixed income, equities, and derivatives. With $483 billion assets under management ($299 billion in physical assets and $184 billion in derivatives notional value), NISA actively manages risk for institutional investors, providing clarity to complicated challenges and stability in ever-evolving markets. At NISA, we foster a culture that supports both personal and professional growth, providing opportunities to learn from experienced professionals while contributing meaningful work from the outset. We seek candidates who demonstrate strong quantitative and analytical skills, intellectual curiosity, and a collaborative mindset to join our growing teams.

Responsibilities

As a member of NISA's Derivatives Portfolio Management team, the Derivatives Quantitative Trading Analyst plays a key role in constructing and managing customized portfolios for some of the world's largest institutional investors. The Analyst will build a strong foundation in financial markets, portfolio management and cross-asset trading, gaining exposure to both exchange-traded and over-the-counter derivatives instruments. Working at the intersection of finance and technology, the Analyst will focus on learning the fundamentals of quantitative investment tools including portfolio construction, risk models, portfolio optimization and quantitative trading signals.

Over time, the Derivatives Quantitative Trading Analyst will contribute to the development and enhancement of the tools and technologies that support NISA's derivative investment process. The Analyst will work with senior members of the Derivatives team to leverage and incorporate these quantitative tools and methods into the investment process, systematically building individualized portfolios to meet clients' varied risk and return objectives. Strategic derivative implementation at NISA demands both an operational expertise and the commitment of highly engaged investment professionals, supported by dedicated technology and talent.

Qualifications
    Bachelor's or Master's degree in a field requiring strong analytical and quantitative skills such as Mathematics, Physics, Computer Science, or Statistics
  • Asset management experience preferred (1-3 years)
  • Candidates must have a strong academic background, and possess a high degree of aptitude in quantitative and analytical thinking
  • Proficient in techniques and technologies related to quantitative/statistical analysis (Python, R, C/C++/C#, Java), data management (SQL), and Excel
  • Experience with statistical and/or mathematical modeling
  • The candidate should be highly curious and comfortable dealing with unstructured problems
  • Excellent communication skills
  • Ability to work successfully in a team environment
  • Drive to perform at a high level under pressure and time constraints

NISA's culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including health, dental, vision and life insurance options, paid time off, a competitive retirement plan, onsite cafeteria, fitness center, a health and wellness program and an educational assistance program.

NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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