Keith Woodfin

Data Analyst and Project Manager

Citi•  June 2020 - Present

Manage Derivative Data Quality projects for Citigroup’s Markets Surveillance Desk. Lead group of 4 data analysts. Co-ordinate with developers and end-users across the globe to identify data gaps, pin-point root causes, fix system logic and ensure surveillance systems are receiving accurate data. • Tech used: Python 3.8, SQL, Netezza, Impala, JIRA, pandas, xlwings, numpy, matplotlib. • Present findings and solutions each week to global group of end-users. • Increased Data Quality Team’s pace of completing JIRAs by 300% over 6 months.

Data Consultant

Astoria Portfolio Advisors•  February 2020 - May 2020

Built a financial database for market analysis and portfolio modeling. External data collected from open source and low-cost API’s, cleaned and transformed into files and images. Deployed to AWS • Tech used: Python 3.7, PostgreSQL, AWS S3, AWS RDS, Pandas, Matplotlib, Scipy, REST API • A cheaper and more accessible solution • Produces client-ready visualizations of market trends and investment model performance

Derivatives Sales Trader and Data Analyst,

Nomura•  November 2017 - April 2019

Delivered market analysis and trade ideas to institutional clients investing in Japan, China, and U.S. equity markets. Analyzed data from derivative markets and transformed that analysis into actionable investment strategies. Managed U.S. Cross-Regional Team and coordinated strategy with Asia-based colleagues. • Grew FY 2018/19 cross-regional equity option revenue to $18+M across HK and U.S. teams. • Introduced and signed large pension funds and hedge funds to Nomura’s trading service.

FXEM Strategist, FXEM Sales and Equity Derivatives Sales-Trader

Morgan Stanley•  September 1998 - August 2017

Evaluated cross-asset trends and data to build ideas for institutional clients. Advised and traded with sophisticated investors at macro hedge funds, sovereign wealth funds, and Canadian pension funds. Deconstructed complex products for clients into simpler components and highlighted relevance as portfolio additions. • Sold systematic strategies, equity derivatives and foreign currency products to institutional clients; attained up to $20M in annual production. • Earned promotions from Analyst to Executive Director; advised clients on trading currency derivatives with notional value up to $1B; regularly completed trades worth $1M in revenue.

Rutgers, The State University of New Jersey

Data Science, Certificate•  August 2019 - February 2020

• Accelerated six-month Data Science course covering Python, VBA, SQL, R, Tableau, MongoDB, HTML, CSS, Java Script, ETL, API's Machine Learning and Predictive Modeling