ZipRecruiter

Log In

1

Quantitative Risk Analyst Intern Jobs in Texas (NOW HIRING)

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site +1

Role Summary Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who ... Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g ...

Newrez LLC

Senior Technology Risk Analyst

Coppell, TX · On-site

The Senior Technology Risk Analyst is expected to manage and mature the enterprise risk register ... Define qualitative and quantitative metrics to assess the success of the risk program and provide ...

Republic Finance

Senior Risk Analyst

Plano, TX · On-site

... risk. * Establish a robust test and learn environment for continual loss mitigation and collections ... Must have 2 years of experience as a Quantitative Analyst, Data Scientist, Analytics Consultant, or ...

DTCC

Market Risk Senior Analyst

Coppell, TX · Hybrid

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams ... analyze, and mitigate potential risks and safeguard financial markets, in which DTCC plays a ...

DTCC

Market Risk Senior Analyst

Coppell, TX · On-site

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams ... analyze, and mitigate potential risks and safeguard financial markets, in which DTCC plays a ...

next page

Showing results 1-20

People also search for

All JobsQuantitative Risk Analyst Intern JobsQuantitative Risk Analyst Intern Jobs in Texas

Quantitative Risk Analyst Intern information

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst Intern, and why are they important?

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What does a Quantitative Risk Analyst Intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use software like Excel, R, or Python to support risk management strategies in financial or insurance firms.

What is the difference between Quantitative Risk Analyst Intern vs Quantitative Risk Analyst?

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What types of projects and responsibilities can a Quantitative Risk Analyst Intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Texas? The most popular types of Quantitative Risk Analyst jobs in Texas are:
What are popular job titles related to Quantitative Risk Analyst Intern jobs in Texas? For Quantitative Risk Analyst Intern jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst Intern jobs in Texas look for? The top searched job categories for Quantitative Risk Analyst Intern jobs in Texas are:
What cities in Texas are hiring for Quantitative Risk Analyst Intern jobs? Cities in Texas with the most Quantitative Risk Analyst Intern job openings:
Quantitative Risk Analyst Intern jobs near you
Infographic showing various Quantitative Risk Analyst Intern job openings in Texas as of June 2026, with employment types broken down into 3% Locum Tenens, 13% Internship, 64% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

RWD Data Analyst Intern

Loopback LLC

Dallas, TX • On-site, Remote

Part-time

Posted 8 days ago

Job description

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.

Role Summary

Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who will work closely with Loopback Real World Data and Data Operations teams. This position will give exposure to how healthcare data is used to support clinical research across various Life Sciences stakeholders, including pharmaceuticals, medical device, and regulatory functions. This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on experience alongside senior analysts in a collaborative remote/hybrid environment based in Dallas. Provides strong mentorship, professional development, and potential for extension, with a proven track record of converting interns into full-time contributors.


Key Responsibilities:

Data Analysis & Solution Development

  • Analyze Loopback's large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to support answering clinical research feasibility questions across various therapy areas.
  • Assist in developing reporting tools that help non-technical stakeholders understand the data asset.
  • Synthesize and communicate analytical findings to team members.

Cross-Functional Collaboration & Continuous Improvement

  • Collaborate with Sales, Client Success, Product, and Operations teams to improve data quality, documentation, and product features.
  • Gather and document customer feedback to inform future data product development.



Qualifications

Required:

  • Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related).
  • Exposure to SQL and at least one scripting/statistical language (Python, R).
  • Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses.
  • Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences.
  • Comfortable working in a fast-paced, cross-functional team environment.

Soft Skills

  • Data-driven and analytically rigorous, with a focus on delivering client value.
  • Creative, resourceful, and comfortable with ambiguity.
  • Strong collaborator who thrives in a team-oriented, rapidly evolving environment.
  • Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

Apply