Quant jobs / Fidelity Investments

Senior Manager – Quant Data Platform

A data-platform leadership role in Fidelity's Quantitative Research and Investments division. You own how vendor and alternative datasets get onboarded and shaped for systematic equity, fixed income and sustainable investing research.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Run the pipeline for onboarding new vendor and in-house datasets into the research platform
Agree data access patterns with researchers and technology partners
Work with data operations to keep quality and point-in-time history reliable
Speed up onboarding while keeping documentation and standards tidy
Coach engineers and report progress to investment stakeholders

What they ask for

Required

SQL
Python
Financial datasets: prices, returns, fundamentals, corporate actions
Alternative data experience
Vendor data such as Bloomberg, FactSet, Refinitiv, MSCI
Point-in-time data modelling
Data governance
Team leadership

Preferred

CFA charter or progress toward it

Education: Not stated
Experience: 5+ years in asset management or hedge funds on data analysis and delivery
Languages and tools: Python
SQL
Markets: equities, fixed-income, multi-asset

How to prepare

Build a point-in-time fundamentals dataset from a free source and show how look-ahead bias creeps in
Practise reconciling two price histories with corporate action adjustments in SQL
Learn the main vendor datasets and what each one is good for
Write a data-quality checklist and automate it in Python

What to study

Apply

Read the full posting on Fidelity Investments’s site before applying: requirements, location and pay can change after we check them.

View the posting on Fidelity Investments’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Fidelity Investments and doesn’t handle applications.