Wesley Hill Email & Phone Number

New York, Ny, Us

New York, Ny, Us

New York, Ny, Us

New York, Ny, Us

Us

Responsible for understanding many technology trends to inform investment views. Working as part of a team, my primary focus is on big data analytics, machine learning, and AI.Continuing to perform analytics, including seeking out alternative data sources to answer macroeconomic questions.

Us

Led a department of 20 with teams working on analytics, data engineering, product management, DevOps, and tooling for multiple internal clients. The work involved multiple data sources and types, including equities’ market data, fundamentals, institutional holdings, macroeconomic data, and more.• Accelerated product release cycles from 2+ years to 4-6 weeks.• Multiplied the value of the group’s efforts by adding new internal clients.• Made production processes more resilient after consolidating the firm’s data engineering efforts into the department.

Managed and grew a team of analysts to continue quantitative portfolio efforts, while answering a growing array of analytics requests from internal clients to guide valuable investment decisions.Also managed a team of data engineers and served as technical lead for all the departments' data engineering efforts.• Accelerated testing cycles from weekly to daily by applying agile methodologies.• Formed a team to pioneer graph analytics methods to more accurately integrate security master data.• Led department through challenging office closure and relocation from Australia to NYC headquarters.

• Advocated for, and implemented, agile methodologies across several teams to advance a big data integration process from broken and taking weeks to execute, to taking only hours.• Invented a derivative of CART classification trees to suit a machine learning application and optimized it to operate on large datasets.• Designed and developed a big data time-series engine to accelerate development and execution of analytics, which went on to be adopted by all data teams.

• Implemented a quantitative equity portfolio and state-of-the-art portfolio backtesting suite.• Resolved bottlenecks from MATLAB’s slow Database Toolbox by writing a replacement with 100× faster database reads, and 1000× faster writes.• Worked effectively in conditions which emphasized security around proprietary information.