Mayank Seksaria 54 Chatsworth Avenue #4, Buffalo, NY-14217 Email: mseksaria@gmail.com, Ph: 513-886-3567 Quantitative Analyst, Engineer and Banker with broad experience in financial services industry especially in quantitative analytics, treasury management, valuations, business strategy management and operations management. Demonstrated ability to integrate a large number of diverse components, applying an extensive skill set, and then develop a complete solution scenario. Extensive analytical, technical skills and managerial knowledge and expertise. Reputation for strong work ethic, high energy level, detail oriented with strong communication, interpersonal and presentation skills and consistent commitment to corporate success. ▪Quantitative/Financial modeling ▪Financial planning and forecasting ▪Balance sheet restructuring ▪MIS ▪Cash flow optimization ▪Budget management ▪Project/Strategy/Risk/Database Management ▪Data Analysis and modeling using SAS, SQL, EViews, and SPSS ▪Six Sigma Green Belt Certification ▪Financial Risk Manager (FRM) ▪Chartered Financial Analyst (CFA) program – Level II Candidate ▪Proficient in Excel, PowerPoint, Access, VBA ▪ Certified Management Accountant (CMA) candidate EDUCATION M.S.B.A, Quantitative Analysis, University of Cincinnati, Cincinnati, Ohio, May’ 2006 GPA 3.7/4.0 B.S, Electrical Engineering, DAVV University, Indore, India, Jun’ 2001 Graduated With Distinction PROFESSIONAL EXPERIENCE Float Analyst, HSBC Bank USA, Buffalo, NY (Jun’05-Dec’05(Intern), Apr’06-Present (Employee)) Balance sheet restructuring for early recognition of funds in bank’s treasury operations generating interest margins of over $20MM annually. Optimized collection of funds and reduced payments clearing costs resulting in savings of $20MM since 2005. Created and managed project development and corporate strategy models for use in evaluating potential project and business development opportunities. Organized next generation payments operation by creating and managing complex, comprehensive financial models using large amounts of quantitative and qualitative data; strong primary research skills and ability to draw creative implementable real world solutions based on independent analysis. Analyzed, prepared and summarized recommendations for financial plans, financial trends and operating forecasts. Performed financial forecasting, variance analysis of actual vs. forecast and reconciliation of internal accounts. Developed chargeback methodologies for different units within the payments operation group. Managed the development, modification, review and implementation of MIS reporting methods, controls, policies and procedures for payments operation group. Used Six Sigma to evaluate the operational processes in order to rationalize or fundamentally change business operating models. Reengineered business processes to increase productivity, improve product and service quality, and enhance customer service and satisfaction. Build financial valuation models for deals with Bank of Montreal, TD Bank, Toyota and GM among others for their payment operations in US. Also build econometric forecasting models for cost/revenue analysis and impact of interest rate movements on balance sheet. Used Access, Excel, Visio and PowerPoint to create quantitative/financial models using large amounts of raw data to conduct feasibility study, financial valuation analysis and product development for operations strategic projects initiatives. Maintenance and development of regulatory and compliance procedures for fed funds availability, check clearing and rules for deposit analysis as required by external regulators and internal audits. Implementation of new float system FPS 5.0 including development and testing work. Co-op, Toyota Motor Manufacturing, George Town, KY (Mar’05-Jun’05) Re-sequencing of the multilane selectivity bank (SB) and Hiejunka for process improvement Simulation was identified as tool to help evaluate different models for SB issues. Achieved reduction in constraint violation, lateness and an increase in broadcast lead time Cost benefit analysis yielded a saving between $750,000 to $1,500,000 per year Research Assistant, University of Cincinnati, Cincinnati, OH (Sep’01-Aug’04) Developed mathematical model for a spiral antenna and implemented simulation software in programming language ‘C’ to calculate its radiation patterns Conceptualized and formulated the model for both near field as well as far field MSBA THESIS Formulated analytically and quantitatively problem of trading schedule for a generating company and created its risk management framework. Used time series analysis/volatility to generate models for returns and conducted sensitivity analysis on the portfolio using Value at Risk(VaR) Created a Markowitz optimal portfolio for a electricity generating company by deriving mathematical formulation using spot and bilateral pricing constraints MODELING PROJECTS Financial Modeling: Modeled cash flows, NPV, annuities, loan amortizations, debt and equity valuation, break even analysis, life cycle financial plan, portfolio optimization, options pricing, discrete/continue-time asset pricing, risk management (VaR) Statistical Modeling: Extensively modeled financial time series analysis, multivariate data analysis, regression analysis, probability, statistical theory, sampling data analysis, statistical estimation and inference, hypothesis testing, generalized linear model analysis Equity Modeling: Calculated options on equities using Black Scholes and binomial tress (American and European). Calculated the options greeks using Monte Carlo simulation. Used Black Scholes to calculate implied volatility and volatility smiles and Rubenstein for skewness and kurtosis adjustments Bond Modeling: Modeled term structure of interest rate, duration and convexity. Worked on bond option modeling using Vasicek, Black, Cox Ingersoll Ross, and Black Derman Toy valuation models Portfolio Optimization: Modeled efficient frontier using Huang’s and Lichtenberger’s approach. Developed a portfolio using risky assets and risk free asset Asset Pricing and Performance Measurement: Developed Single Index model, Capital Asset pricing model, estimating bets coefficients and variance – covariance matrices. Also conducted style analysis – simple and rolling period, using confidence interval as style weights Derivatives, Pricing Models and Hedging Strategies: Understand option trading and hedging strategies, and traded options (Bull/Bear Spread, Collar, Butterfly Spread, and Straddle). Knowledge of hedging and the Greeks: Delta, Theta, Gamma, Vega, Rho and volatility smiles Credit Risk Management: Understanding of credit risk management including loan sales, securitizations, default risks, credit derivatives and credit portfolio management. Understanding of Operational risk, capital allocation and economic capital models Sampling Analysis: Developed sample surveys, mathematical preliminaries, sampling weights, systemic sampling, stratified random sampling, two state cluster sampling, unequal probability sampling, and adaptive random sampling Data Analysis: Data import/export, data structure creation, data management/transformation, generation/tailoring of reports, formatting data, combining data sets, macro processing, data querying and data parsing COMPUTER SKILLS SAS, SPSS, Arena, Excel – VBA, C, C++, Solver, MS Office Suite, Monarch, Risk, MS Access, Front Page 98, R, Mathematica, Crystal ball, Lotus Notes, MS SQL Server, People Soft, Essbase PROFESSIONAL AFFILIATIONS President, INFORMS student chapter at the University of Cincinnati Member, Omega Rho International Honor Society for Operations Research & Management Science CERTIFICATIONS Cleared CFA Level –I exam. Working towards CFA L-II exam in June 2009. Certified as FRM provided by Global Association of Risk Professionals (GARP) Certified as a Six Sigma Green Belt by leading a project for HSBC Bank ACHIEVEMENTS Received award from governor of the state, Dr. Bhai Mahavir in 2001 for excellence in studies Won Grade A certificate in Math’s Olympiad, organized by DU Excellent standardized test scores, GRE-Quantitative-800/800, Analytical-800/800, Verbal-530/800; and GMAT–Verbal-39, Quantitative-49, Total-710/800.