Senior Lead Securities Quantitative Analytics Specialist (Req. #000895)

Wells Fargo Bank•New York, NY

5d•Hybrid

About The Position

Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers. This role advises senior leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs across Securities Quantitative Analytics. It involves combining mathematical programming and market expertise to build and generate systematic strategies, leading the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas companywide. The role delivers solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking, and coordination of highly complex activities and guidance to others. It uses quantitative and technological techniques to solve complex business problems, conducts research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation. The position provides vision, direction and expertise to more experienced leadership on implementing innovative and significant business solutions that are large-scale cross-functional or companywide strategies. It develops automated trading algorithms, creates cutting-edge derivative pricing models and empirical models, to provide insight into market behavior. The role engages with all levels of professionals and managers companywide and serves as an expert advisor to leadership. It works constructively in collaboration with business, model development, model validation, and information technology, playing an integral role to the trading floor.

Requirements

Master’s degree in Mathematics, Computer Science, or related quantitative field.
Five (5) years of experience in securities quantitative analytics.
Derivative products and capital markets experience across one or more asset classes, including rates, foreign exchange, credit, equities, and/or commodities, with a strong understanding of market conventions and risk drivers.
Quantitative finance expertise encompassing derivatives pricing, valuation, and market risk analytics across multiple asset classes, including support for front‑office risk management and regulatory use cases.
Advanced hands‑on programming experience in Java and C++.
Working proficiency in Python, R, and SAS.
Demonstrated use of functional programming techniques to implement scalable quantitative analytics.
Experience designing and implementing asynchronous, event‑driven, or reactive architectures suitable for real‑time or near‑real‑time risk, pricing, and PnL computation.
Enterprise‑scale software development experience, including integration with large distributed systems, database access using SQL, and use of source‑control and code‑repository tools within an Agile SDLC.
Capital markets risk technology experience, including platforms that support front‑office risk, market risk calculations, valuation, PnL explain, and coordination with Risk and Finance functions.
Product development on Linux and Unix environments, including deployment, performance tuning, and operational support of production quantitative systems.
Strong background in statistical analysis and quantitative methods, including stochastic modeling, simulation, numerical optimization, and computational techniques used in pricing and risk management.
Knowledge of regulatory and capital frameworks for financial institutions, including requirements relevant to market risk and capital calculations (e.g., regulatory reporting and internal risk management standards).

Responsibilities

Advise senior leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs across Securities Quantitative Analytics.
Combine mathematical programming and market expertise, to build and generate systematic strategies.
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas companywide.
Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking, and coordination of highly complex activities and guidance to others.
Use quantitative and technological techniques to solve complex business problems.
Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation.
Provide vision, direction and expertise to more experienced leadership on implementing innovative and significant business solutions that are large-scale cross-functional or companywide strategies.
Develop automated trading algorithms, create cutting-edge derivative pricing models and empirical models, to provide insight into market behavior.
Engage with all levels of professionals and managers companywide and serve as an expert advisor to leadership.
Work constructively in collaboration with business, model development, model validation, and information technology.
Play an integral role to the trading floor.