Junior Quantitative Analyst: Market Signals & Models

Soteria Reinsurance Ltd.; Boston (MA); On-site; USD 135,000 - 175,000; Full time

Job summary

Fidelity Investments in Boston seeks an AM Quantitative Analyst I to conduct research and develop quantitative techniques and tools to support the investment process. You will process large data sets, build robust quantitative tools, and develop systematic strategies using Python, R, MATLAB, and SQL in a Linux environment.

The role emphasizes informing investment decisions, monitoring portfolio risks, and communicating complex quantitative concepts to non-technical colleagues.

Qualifications

• Bachelor’s degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field.
• Master’s degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field.
• 3 years of AM Quantitative Analyst experience or equivalent.
• Experience designing, creating, validating quantitative equity investment strategies and risk models.

Responsibilities

• Informs investment decisions by analyzing financial information to forecast conditions.
• Monitors portfolio risks and returns.
• Prepares action plans using financial analyses.
• Builds models for market environments and asset diversification.
• Assists with design and launch of new investment solutions.
• Meets with consultants/clients to present quantitative frameworks.
• Collaborates with investment and tech teams.
• Explains complex quantitative concepts to non-technical staff.

Skills

Quantitative finance

Alpha/risk models

Time-series analysis

Machine learning

Statistical modeling

Education

Bachelor's degree in Finance/Math/Stats

Master's degree in Finance/Math/Stats

Tools

Python

R

MATLAB

SQL

VBA

Gurobi

Snowflake

Job description

Fidelity Investments in Boston seeks an AM Quantitative Analyst I to conduct research and develop quantitative techniques and tools to support the investment process. You will process large data sets, build robust quantitative tools, and develop systematic strategies using Python, R, MATLAB, and SQL in a Linux environment.

The role emphasizes informing investment decisions, monitoring portfolio risks, and communicating complex quantitative concepts to non-technical colleagues.