Software Engineering Lead – Investment Analytics, VP - State Street Investment Management

State Street

Quick summary

Work type
On-site
Location
Boston, Massachusetts · Quincy, Massachusetts
Salary
$110,000–$188,750 / yr
Posted
46 days ago
Closes
Jul 1, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k
This role $149k
$96k most similar roles pay here $239k

This role pays less than 92% of similar roles. Most pay $177,900–$223,750 — the shaded band above. At the midpoint, this role pays about $149k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 123 open roles on FindRole.

Listed pay typically runs $120,000–$188,750 across 121 roles with salary data.

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At a glance

TL;DR · Software Engineering Lead – Investment Analytics, VP - State Street Investment Management

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State Street Investment Management seeks a Software Engineering Lead to join its Investment Analytics Application Development team. This senior role requires extensive financial domain knowledge and technical expertise in building scalable systems for investment data analysis. The candidate will design, build, and optimize applications using Python, PySpark, and SQL on Databricks in AWS, collaborating closely with portfolio managers and researchers to deliver robust solutions for performance measurement, attribution, and returns analysis. Key responsibilities include implementing data workflows, optimizing Spark workloads, resolving complex issues, and contributing to technical standards. Ideal candidates have over 10 years of experience in asset management or financial services, advanced skills in Python, PySpark, and SQL, and a solid understanding of data warehousing concepts.

Skills

Python PySpark SQL Databricks AWS Agile Spark Data Warehousing BI Tools AI-Assisted Development Tools CI/CD

What you'll do

  • Design and build scalable applications and data pipelines using Python, PySpark, and SQL on Databricks.
  • Implement financial analytics solutions for performance measurement, attribution, returns analysis, and benchmark comparisons.
  • Develop robust data workflows with a focus on data quality, transparency, and operational reliability.
  • Optimize Spark and SQL workloads for scale and performance in AWS cloud environment.
  • Investigate and resolve complex production issues through root cause analysis and long-term remediation.
  • Contribute to technical standards, best practices, documentation, and design reviews within the team.

What we're looking for

  • 10+ years of experience delivering technology solutions in asset management or financial services.
  • Strong background in financial data including returns, performance, holdings, and benchmarks.
  • Expertise in Python, PySpark, advanced SQL, and large-scale data processing optimization.
  • Experience building and optimizing Databricks/Apache Spark solutions on AWS cloud environment.
  • Solid understanding of data warehousing, analytical platforms, and BI tools for reporting.
  • Proven ability to work independently with strong analytical and problem-solving skills.

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