•Used Python and Jupyter Notebook to automate the extraction of vital business data •Worked cross-functionally to build out real-time reporting and alerts that met stakeholder’s needs•Utilized Snowflake SQL to identify negative value trading patterns•Developed new improved live cash-out model for 888.com•Conducted AB testing regularly to determine best fit for multiple models and alerts•Mentored and trained team members on uses of reporting tools

•Trade support team member for busy Index and Single Stock Options desks•Created Splunk alerts to notify traders of key dates relating to stock positions•Demonstrated ability to work in a fast-pace, volatile industry•Ran PnL reports for Options Market-Making desk, reconciling cash and positions•Utilized Jira to track projects and log bugs•Onboarded new prime brokers for stock-loan business, notably State Street in Boston•Automated trade transaction reports creation saving analysts ~7.5 hrs/week•Worked in Oracle SQL to create a tool suggesting internal offset trades, saving the company $3M annually•Leveraged Bloomberg functions to create dashboards in Excel

•Analyzed sales data from all 13 of the groups restaurants and bars to create weekly, monthly and quarterly reports•Conducted in-depth comparative analysis of expected vs actual profits to understand and explain cost anomalies•Presented reports to the Financial Controller, with a focus on ideal costing, used in planning and budgeting