Co-op, Quantitative Analyst

Quantitative Analyst 

Description 

We are seeking a motivated Quantitative Analyst/Developer Intern/Co-Op to join the Advanced Data Analytics and Insights (ADAI) team and contribute to the development of the Alternative Investment Portfolio Strategy Risk Analytics & Management program. The program is instrumental in monitoring the Investment Risk profiles of Fidelity's alternative investment and strategy funds. 

The Intern will use technologies such as Python – Multithreading, large scale simulation engines, derivatives pricing, SQL (Oracle/Snowflake), and Streamlit/Dash frameworks for developing data processes, risk calculation pipelines and reporting applications.  

The Expertise and Skills You Bring 

Currently pursuing BS/MS/PhD in quantitative field such as Financial Mathematics, Financial Engineering, Data Science, Mathematics, Statistics, Physics etc. 

Technical abilities including highly proficient with: Python, Python frameworks – pandas, polars, embedded SQL, SQL (Snowflake, Oracle) 

Strong knowledge and understanding of portfolio management, investment risk analysis, and the financial industry. 

Basic understanding of probability and statistics (e.g., data science, machine learning, time-series analysis, pattern recognition, NLP) 

Expertise in navigating large data sets (structured and unstructured) and discovering, cleaning, analyzing, and preparing data for ingestion 

Strong analytical and problem-solving background 

Effective verbal and written communication skills 

What You Will Gain 

·       Hands-on experience in quantitative analytics, financial engineering and risk management within a leading financial institution. 

·       Exposure to cutting-edge quantitative methods, technologies, and methodologies in investment risk management. 

·       Mentorship from experienced professionals in quantitative finance and investment risk management. 

·       An opportunity to develop your professional network and enhance your communication and technical skills. 

·       A closer look at the processes and strategies behind managing risks in alternative investment portfolios. 

·       This role provides a meaningful opportunity to develop practical skills in a real-world environment, preparing you for a successful career in quantitative investment risk analysis and management. 

Team 

The CRBO Advanced Process Solutions (APS) and Innovation team is on the frontier of blending emerging technology and advanced data analytics to enable Asset Management to work smarter, faster, and more proactive. Much of our work is truly groundbreaking and provide a major contribution to Asset Management’s business operations and scale and efficiency objectives. 

In this role, you will work directly with the Director of Advanced Data Analytics & Insights (ADAI) to support and implement processes for a team of Investment Risk Managers who partner with the Chief Investment Officers and investment professionals (Portfolio Managers and Risk Managers) to define relevant risk metrics and produce reporting and analytics that would provide assurance that investment managers are taking appropriate types and levels of risk for each client mandate and that those risks are measured accurately, monitored continuously, and taken purposefully.