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Internship Quantitative Risk Modeler Jobs in St Louis, MO

Intern

Saint Louis, MO · On-site

$16.50 - $21.75/hr

... risk-controlled investment strategies across fixed income, equities, and derivatives. With $483 ... We seek candidates who demonstrate strong quantitative and analytical skills, intellectual ...

Successful candidates demonstrate strong analytical and quantitative thinking, attention to detail ... Risk Ownership: Recognizes that security, reliability, compliance, and operational excellence are ...

Successful candidatesdemonstratestrong analytical and quantitative thinking, attention to detail ... Risk Ownership: Recognizes that security, reliability, compliance, and operational excellence are ...

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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 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:

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.

Quantitative Trading Analyst, Portfolio Management

NISA Investment Advisors, LLC

Saint Louis, MO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

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
Working at the intersection of finance and technology, the Quantitative Trading Analyst will participate in a two-year program, starting June 2027, within NISA's Portfolio Management Department. The Analyst will gain foundational knowledge and understanding of broad asset classes and financial instruments. The Analyst will build upon this foundational knowledge and focus on learning the fundamentals of quantitative investment tools including portfolio construction, risk models, portfolio optimization and quantitative trading signals.
Over time, the Quantitative Trading Analyst contributes to the department by improving existing tools and building new ones. The Analyst works with senior members of the Portfolio Management 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. Working in a fast-paced and collaborative environment, the Analyst gains knowledge and experience through formal and informal training.
Qualifications
• Spring 2027 Bachelor's or Master's degree in a field requiring strong analytical and quantitative skills such as Mathematics, Physics, Computer Science, or Statistics
• 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.