Financial and Quantitative Engineering Leader

1 week ago

Irvine, California, United States State Street Bank Full time
Job Summary

State Street's Artificial Intelligence and Financial Engineering team is seeking a highly skilled Financial and Quantitative Engineering Principle – VP to lead one of our agile teams. The successful candidate will have extensive experience in financial engineering, quantitative analysis, and team leadership.

Key Responsibilities
  • Lead a team of junior financial and quantitative engineers in fundamental and quantitative analysis, feature selection and engineering, model methodology, assumption, specification, design, implementation, and validation.
  • Engage with users and analysts to explore and prototype front office opportunities and use cases, applying cognitive and machine learning technology.
  • Design and program automated data collection and pre- and post-transformation pipelines.
  • Develop financial frameworks and program models to address business problems and perform model validation.
  • Support IT integration, QA/UAT, and deployment of cognitive microservices, operationalizing and productizing resulting models and cognitive solutions.
Requirements
  • Master's degree in financial engineering, mathematical finance, operational research, finance, economics, or other engineering fields; PhD preferred.
  • Extensive experience in supporting investment research, portfolio management, and trading, with good hands-on knowledge of market movement and sentiment analysis, portfolio optimization, security or factor-based investment strategy, cash flow analysis, or algorithmic trading.
  • 15+ years of experience with security terms and conditions, market data, security valuation modeling, performance attribution, portfolio optimization, or fund accounting and administration.
  • 15+ years of hands-on experience with buy-side quantitative methodology and models well understood by industry professionals like portfolio managers, traders, risk managers, clients, and regulators.
  • 10+ years of modern, object-oriented, or functional programming experience (Python, Java, C++, SQL).
  • Familiarity with public cloud development environments like Azure AML or AWS SageMaker.
  • Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
Desirable Qualifications
  • Leading a financial engineer or modeler team in a medium or large-sized buy or sell-side firm.
  • In-depth factor-level modeling, such as interest rate, spread, FX, momentum, sector, technical, and fundamental indicators.
  • Data Science and Machine Learning Frameworks (PyTorch, TensorFlow, Scikit-learn, etc.).
  • Linux/Bash scripting, structured and unstructured data management tools (Snowflake, PostgreSQL, MySQL, KDB+, Hadoop, etc.).
  • Strong analytical skills, with previous experience or education focused on statistics or data science.
  • Communication skills, with the ability to communicate at the right level with all parties involved, including management and business stakeholders.
Salary Range

$155,000 - $230,000 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.

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