- Help oversee the day-to-day operations of a team of 5-6 to safeguard against operational risk to the firm and improve the firm’s operational infrastructure.- Monitor regulatory and prime broker capital requirements and usage to manage risk and optimize capital usage/ return on capital.- Liaise with prime brokers to determine appropriate capital risk charges on different products and trading strategies.- Maintain and enhance a library of 10-12 digital applications used to automate and update existing risk management and operations processes with Python, SQL, and C#.- Facilitate the operational set-up of new trading/business opportunities that have included trading of physical metals and treasury bond repos.- Collaborate with other internal teams i.e. trading, technology, compliance, and business development to further company objectives efficiently.- Designed and implemented a new automated trading limit framework in accordance with regulatory requirements.- Programmed an application that centralized and automated processes necessary for day-to-day tasks including trading limit setting, trade booking, and risk monitoring. - General financial instruments knowledge in ETFs, equities, corporate/municipal/government bonds, futures, and FX

- Reconciled trades, costs, trading limits, profit and loss calculations- Generated daily reports on trading activity, profit and loss, sector exposures, counterparty volume and various other areas at requests from trading and management- On-boarded 15+ new counterparties for trading- Communicated with 60+ counterparties to facilitate trade settlement- Worked with the Compliance department to manage legal and regulatory risk by creating and monitoring checks throughout the day- Worked with the Trading and Trading Support teams to manage financial risk by creating and monitoring checks throughout the day

- Completed two major projects: Premium Persistency Study and Annual Mortality StudyPremium Persistency Study: - Collected and compiled company premium data on life insurance policies to analyze and compare actual paid premiums against expected paid premiums utilizing Excel macros and other functionalityMortality Study: - Analyzed company mortality data for life insurance policies categorized by product type, gender, issue years, smoker status using Access and Excel - Compared company mortality data to industry data to set mortality assumptions for each category - Examined historical mortality data to predict future mortality improvements