Lead Software Engineer - Investment Analytics, VP - State Street Investment Management

State Street; Quincy (MA); On-site; USD 110,000 - 189,000; Full time

Benefits offered by this job

401K match

Medical coverage

Dental

Vision

Long-term disability

Paid time off

Employee Assistance Program

Job summary

State Street Investment Management seeks a highly experienced Software Engineering Lead for the Investment Analytics Application Development team. The role requires deep financial domain knowledge and hands-on technical expertise to build data-driven solutions for portfolio management, research, risk, and reporting in AWS Databricks.

You will collaborate with portfolio managers, researchers, and tech partners to translate complex financial concepts into scalable, high-quality software.

Qualifications

• 10+ years of experience delivering technology solutions, preferably within asset management or financial services.
• Bachelor’s degree in CS, CE, or equivalent practical experience.
• Strong written and verbal communication skills.

Responsibilities

• Design, build, and optimize scalable applications and data pipelines using Python, PySpark, and SQL on Databricks (AWS).
• Partner with business stakeholders to understand financial data, analytics requirements, and downstream usage across research, portfolio management, risk, and reporting.
• Own the investigation and resolution of complex production issues, including root‑cause analysis and long‑term remediation.

Education

Bachelor's degree in Computer Science, Computer Engineering, or equivalent

Tools

Databricks

AWS

Job description

Who We Are Looking For

State Street Investment Management is seeking a highly experienced Software Engineering Lead to join our Investment Analytics Application Development team.

The ideal candidate brings strong financial domain knowledge and deep technical expertise, with experience building and supporting systems that process, analyze, and deliver investment and financial data for portfolio management, research, risk, and reporting use cases. While experience with performance measurement and attribution is important, this role is broader in scope and suited for engineers who understand financial data holistically—returns, holdings, benchmarks, market data, and analytics workflows.

You will work closely with portfolio managers, investment researchers, and technology partners to translate complex financial concepts into scalable, high‑quality solutions built on Databricks in AWS. This role is hands‑on and requires independent ownership of design and implementation.

What You Will Be Responsible For

• Design, build, and optimize scalable applications and data pipelines using Python, PySpark, and SQL on Databricks (AWS).
• Partner with business stakeholders to understand financial data, analytics requirements, and downstream usage across research, portfolio management, risk, and reporting.
• Implement solutions that support financial analytics use cases, including (but not limited to) performance measurement, attribution, returns analysis, and benchmark comparisons.
• Participate in requirements analysis, solution design, and technical implementation following an Agile SDLC.
• Develop robust, maintainable data workflows with strong emphasis on data quality, transparency, and operational reliability.
• Optimize Spark and SQL workloads for scale and performance using appropriate partitioning, query design, and Databricks best practices.
• Own the investigation and resolution of complex production issues, including root‑cause analysis and long‑term remediation.
• Collaborate with application, data architecture, and infrastructure teams to deliver end‑to‑end solutions.
• Contribute to technical standards, best practices, documentation, and design reviews.
• Remain current with emerging technologies and recommend improvements to tools, frameworks, and development practices.
• Responsible for collaborating with global team on sprint milestones.

These Skills Will Help You Succeed in This Role

• Strong experience working with financial data in an asset management or capital markets environment, such as:
  • Returns and performance data
  • Holdings, transactions, and positions
  • Benchmarks and market/reference data
  • Performance and/or attribution concepts and calculations
• Advanced development skills in:
  • Python, PySpark, and advanced SQL
  • Large-scale data processing and optimization
• Experience building solutions on Databricks / Apache Spark in a cloud environment (AWS preferred).
• Solid understanding of data warehousing and analytical data platform concepts.
• Strong analytical and problem-solving skills with the ability to work independently.
• Effective communicator able to collaborate across technical and non-technical stakeholders.
• Familiarity with BI and data visualization tools for enabling reporting and insight delivery.
• Experience leveraging AI‑assisted development tools to improve productivity and code quality.

Education & Preferred Qualifications

• 10+ years of experience delivering technology solutions, preferably within asset management or financial services.
• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Strong written and verbal communication skills.

Salary Range:

$110,000 - $188,750 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long‑term disability, and other optional additional coverages; paid‑time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance‑based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work‑life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.