SCS - Advanced Analytics Intern - 2027

Federal Reserve Bank of Philadelphia • Cleveland, OH

22h • Onsite

About The Position

The Advanced Analytics team within Supervision and Regulation is a team of data scientists that researches, develops, deploys, and maintains models and tools that monitor risk across the Fourth District and nationwide to promote a safe and sound financial system.

Requirements

• Currently pursuing an undergraduate or graduate degree in Finance, Economics, Data Science or a related field with a minimum GPA of 3.0.
• Should have at least one semester left to complete in school.
• Strong technical skills required—specifically, experience working with large data sets and experience with statistical programming (Python and/or R).
• Basic knowledge and desire to learn about banking and financial markets and their regulation.
• Ability to work both in a group setting and on an individual basis.
• Ability and interest to perform independent research with direction.
• Strong oral and written communication skills.
• Ability to work in a deadline driven environment.
• Must be a U.S. citizen, permanent resident, or green card holder.
• Must undergo an enhanced background check.
• Must comply with all applicable information handling rules.
• Non-U.S. citizens must sign a declaration of intent to become a U.S. citizen and pursue a path to citizenship.

Nice To Haves

• Experience with version control (e.g., git) and data processing tools (e.g., SQL, Spark, etc.) is a plus.

Responsibilities

• Assisting with building and testing predictive models using econometric, machine learning, and data mining techniques.
• Preparing preliminary data visualizations and contributing to analytical findings using a variety of methods to promote understanding of key insights and actionable takeaways.
• Assisting with analytic projects through various stages of development, such as formulating concepts; developing and executing analysis plans; implementing and deploying models and tools; and reporting and presenting final research results.
• Engaging with subject matter experts in supervision and related fields to assist with emerging technology/artificial intelligence-related projects.
• Participating in weekly team standups and project increment (PI) planning.
• Engaging in leadership and career development activities for your future.

Benefits

• Hands-On Experience: Gain practical experience and insights into R&D and operational aspects of data science through real-world projects and challenges.
• Mentorship: Receive guidance and mentorship from experienced professionals who are committed to your development.
• Networking Opportunities: Build connections within the industry and with fellow interns and employees.
• Professional Development: Participate in workshops, training sessions, and seminars designed to enhance your skills and knowledge.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree