Data Science & Analytics Intern — Regulatory Markets

National Futures Association; Chicago (IL); On-site; USD 34,000 - 47,000; Full time

Job summary

National Futures Association in Chicago invites driven students to join its Centralized Data Science and Analytics Internship, gaining insight into the derivatives markets and regulatory framework while applying classroom skills.

You'll build tools in Python and R, create Tableau dashboards, run SQL queries, and participate in CDSA training sessions. This internship offers mentorship, industry exposure, and practical experience solving regulatory data challenges.

Qualifications

• Pursuing an undergraduate or graduate degree in a quantitative major and sophomore standing or above.
• Experience in data visualization techniques (preferably Tableau).
• Experience in programming (preferably Python, SQL, R and/or Matlab).
• Familiarity with object-oriented programming design and large datasets.
• Knowledge of finance or economics and strong communication skills.

Responsibilities

• Creating or updating application tools in Python and/or R using advanced modeling techniques.
• Developing Tableau dashboards to present data and output meaningfully.
• Generating ad-hoc SQL queries and performing data investigations.
• Completing code reviews to ensure standards and end-user requirements.
• Learning internal clients' needs and participating in CDSA training sessions.

Skills

Python

SQL

R

Tableau

Data visualization

Analytical skills

Education

Undergraduate or graduate degree in quantitative field

Tools

Git

Azure Cloud

Job description

National Futures Association in Chicago invites driven students to join its Centralized Data Science and Analytics Internship, gaining insight into the derivatives markets and regulatory framework while applying classroom skills.

You'll build tools in Python and R, create Tableau dashboards, run SQL queries, and participate in CDSA training sessions. This internship offers mentorship, industry exposure, and practical experience solving regulatory data challenges.