Akhil Bhargava
Manager, Quantitative Analysis @Capital One
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WORK HISTORY
Manager, Quantitative Analysis @Capital One
Washington, DC, US
Predictive Analytics - Part of Data science team leading transition current modeling framework in QRM from LIBOR to SOFR regime- Responsible for developing and implementing term structure model in QRM- Second line challenger for regulatory capital, covering CCEL, regulatory stress testing (CCAR, DFAST), Recovery and Resolution PlanningEquity Research Analyst- Responsible for alpha factor research, multi-factor modeling and statistical research for proprietary equity strategies (AUM upto $800 MM)- Portfolio Construction- Managing client reporting platformSenior Analyst M&A- Created business analytics and performance monitoring suite for the firm’s Retail Banking Group, covering activity trends for the business along with Industry analytics to assist executive leadership in decision making.
EDUCATION
The Institute of Chartered Accountants of India
ACA, Accounts, Taxation, Financial Management
Georgia Institute of Technology
Master of Science - MS, Analytics(Data Science)
CFA Institute
CFA, Applied finance, Portfolio Management, Valuation
Delhi University
B.Com (H), Accounts, Taxation, Financial Management
The University of Iowa Tippie College of Business
Master of Business Administration (M.B.A.), Investment Management
SKILLS
ABOUT AKHIL BHARGAVA
I am a financial analyst with 12+ years of experience providing analytical services in multiple industries including Fortune 100 financial company - Capital One, and financial consulting for Deloitte and KPMG. My Experience includes LIBOR transitions, Interest rate risk management analysis, Investment / Treasury management, project management and supervising staff. Background includes conducting audits, quantitative research, and programming in multiple languages and platforms including Bloomberg, Factset, R, Python, QRM, Murex, Polypath and SQL. I am recognized for being a dedicated committed team mate, staying up-to-date technically, having strong financial domain knowledge, and contributing to the success of high performing teams.
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