Co-op, Quantitative Analyst

Jobtailor; Massachusetts; On-site; USD 110,000 - 165,000; Full time

Job summary

Fidelity Investments is seeking a quantitative data professional to contribute to the development of risk analytics for its Alternative Investment Portfolio Strategy. You will monitor risk profiles, develop data processes, and build reporting applications using Python, SQL, and front-end dashboards.

The role requires proficiency in Python, SQL, Pandas/Polars, and knowledge of portfolio management and financial risk analysis.

Qualifications

• Currently pursuing BS/MS/PhD in a quantitative field such as Financial Mathematics, Financial Engineering, Data Science, Mathematics, Statistics, or Physics
• Highly proficient in Python
• Experience with Python frameworks including pandas and polars
• Proficiency in embedded SQL and SQL, including Snowflake and Oracle
• Strong knowledge and understanding of portfolio management, investment risk analysis, and the financial industry
• Basic understanding of probability and statistics, including data science, machine learning, time-series analysis, pattern recognition, and NLP
• Expertise navigating large structured and unstructured datasets and discovering, cleaning, analyzing, and preparing data for ingestion
• Strong analytical and problem-solving background
• Effective verbal and written communication skills

Responsibilities

• Contribute to the development of the Alternative Investment Portfolio Strategy Risk Analytics & Management program
• Monitor investment risk profiles of Fidelity's alternative investment and strategy funds
• Develop data processes, risk calculation pipelines, and reporting applications
• Use Python multithreading, large-scale simulation engines, derivatives pricing, SQL, and Streamlit/Dash frameworks
• Support and implement processes for Investment Risk Managers
• Help define relevant risk metrics and produce reporting and analytics
• Support assurance that investment managers take appropriate risks for each client mandate
• Help ensure risks are measured accurately, monitored continuously, and taken purposefully
• Work directly with the Director of Advanced Data Analytics & Insights and partner with investment professionals

Skills

Python

SQL

Pandas

Polars

Risk Calculation

Data Processing

Machine Learning

Time-Series Analysis

Pattern Recognition

NLP

Education

BS/MS/PhD in quantitative field

Tools

Streamlit

Dash

Snowflake

Oracle

Job description

• Contribute to the development of the Alternative Investment Portfolio Strategy Risk Analytics & Management program
• Monitor investment risk profiles of Fidelity's alternative investment and strategy funds
• Develop data processes, risk calculation pipelines, and reporting applications
• Use Python multithreading, large-scale simulation engines, derivatives pricing, SQL, and Streamlit/Dash frameworks
• Support and implement processes for Investment Risk Managers
• Help define relevant risk metrics and produce reporting and analytics
• Support assurance that investment managers take appropriate risks for each client mandate
• Help ensure risks are measured accurately, monitored continuously, and taken purposefully
• Work directly with the Director of Advanced Data Analytics & Insights and partner with investment professionals

Requirements

• Currently pursuing BS/MS/PhD in a quantitative field such as Financial Mathematics, Financial Engineering, Data Science, Mathematics, Statistics, or Physics
• Highly proficient in Python
• Experience with Python frameworks including pandas and polars
• Proficiency in embedded SQL and SQL, including Snowflake and Oracle
• Strong knowledge and understanding of portfolio management, investment risk analysis, and the financial industry
• Basic understanding of probability and statistics, including data science, machine learning, time-series analysis, pattern recognition, and NLP
• Expertise navigating large structured and unstructured datasets and discovering, cleaning, analyzing, and preparing data for ingestion
• Strong analytical and problem-solving background
• Effective verbal and written communication skills

Core Competencies

Proficient in Python programming and data analysis, with expertise in SQL and financial risk management. Capable of developing risk analytics processes and reporting applications while ensuring accurate risk measurement and monitoring.

Highest-signal resume keywords

• Python Programming
• SQL Proficiency
• Risk Analysis
• Data Science
• Portfolio Management

Hard Skills

• Python
• SQL
• Pandas
• Polars
• Risk Calculation
• Data Processing
• Machine Learning
• Time-Series Analysis
• Pattern Recognition
• NLP

Soft Skills

• Analytical Skills
• Problem-Solving
• Effective Communication

Industry Keywords

• Alternative Investment
• Investment Risk Management
• Financial Mathematics
• Financial Engineering
• Statistics

Tools & Technologies

• Streamlit
• Dash
• Snowflake
• Oracle