Financial and Quantitative Engineering, Vice President

$155,000 - $230,000/Yr

State Street Corporation - California City, CA

Full-time - Senior

California City, CA

10,001+ employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Vice President of Financial and Quantitative Engineering at State Street Corporation will lead a team focused on leveraging artificial intelligence and quantitative analysis to enhance investment strategies and risk management. This role involves hands-on research and development, guiding junior engineers, and engaging with stakeholders to identify and prototype innovative financial solutions. The position requires a deep understanding of the asset management industry and the ability to integrate advanced cognitive technologies into financial models and services.

Responsibilities

• Become Subject Matter Expert in financial business of asset management industry such as investment strategy and product offering research, portfolio construction, optimization and rebalancing, security selection, rich and cheap analysis, market and sector analysis, and algorithmic trading
• Lead a team of junior financial and quantitative engineers while being very hands-on in research and development on a daily basis
• Mentor junior team members 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 & post transformation pipeline
• Design financial frameworks and program models to address business problems and perform model validation
• Write model specification documentation with lead data scientists and quantitative modelers
• Support IT integration, QA/UAT, and deployment of cognitive microservices, operationalizing and productizing resulting models and cognitive solutions

Requirements

• Master's degree required (preferably in financial engineering, mathematical finance, operational research, finance, economics, and other engineering fields), PhD preferred
• Extensive experience supporting investment research, portfolio management, and trading; good hands-on knowledge about market movement & 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 that are 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
• Result-driven, detail-oriented, candid attitude

Nice-to-haves

• Leading a financial engineering or modeling team in medium or large size buy or sell side firm
• In-depth factor level modeling such as interest rate, spread, FX, momentum, sector, technical and fundamental indicators
• Experience with 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
• Chartered Financial Analyst (CFA)

Benefits

• Competitive salary range of $155,000 - $230,000 annually
• Opportunities for professional development and career growth
• Access to advanced technology and tools for financial engineering
• Collaborative work environment with a focus on innovation