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«STEVEN M. BURNETT 26 Prospect Ave, Princeton, NJ | sburnett | (913) 660-8528 EDUCATION PRINCETON UNIVERSITY PRINCETON, NJ Master in ...»

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26 Prospect Ave, Princeton, NJ | sburnett@princeton.edu | (913) 660-8528



Master in Finance 2015 – 2017

 GPA: 3.81 / 4.00; GRE: 168Q / 168V  Awards: Bendheim Center for Finance Academic Scholarship; Represented Princeton in the 2016 Rotman International Trading Competition in Toronto  Coursework likely to include: Portfolio Theory and Asset Management; Fixed Income Models and Applications;

Modern Regression and Time Series Analysis; Monte Carlo Simulation, Machine Learning and others


B.A. (Honors), Financial Economics, Mathematics 2007 – 2010  GPA: 3.91 / 4.00; Magna Cum Laude  Awards: Hastings Prize for Best Senior Thesis in Economic Research; Department Citation in Economic Theory and Application; Barry Rapoport Prize for Excellence in Economics  Coursework included: Financial Mathematics, Honors Topology, Honors Real Analysis, Stochastic Processes, Numerical Analysis, Honors Macro/Microeconomics, Econometrics, Linear Algebra, and Differential Equations



Summer Associate, Investments June 2016 – August 2016  Researched cointegration-based trading signals and provided recommendations to management  Developed understanding of firm strategies through weekly investment meetings and Python courses


Senior Analyst, Markets Group July 2012 – August 2015  Contributed to the Federal Reserve policy normalization framework. Actively involved in redefining the Federal Funds Effective Rate, evaluating the efficacy of the overnight reverse repo program, and assessing the disconnect between the FOMC “dot plot” and other implied interest rate paths  Created Matlab tools for computing risk-neutral probabilities from option prices to analyze the likelihood of large price movements over variable horizons for equities, commodities, and Eurodollars  Built a suite of economic surprise indices in Matlab for the U.S., U.K., euro area, Japan, and China that forecasts the impact of economic data release surprises on relevant sovereign bonds, equity indices, and forex  Analyzed the growth of regulatory capital arbitrage via synthetic securitization in the United States and Europe, particularly how Basel III risk-weights altered regulated financial institutions’ capital optimization strategies  Engaged in cross-asset and institutional analysis to produce a dashboard of contemporaneous and predictive systemic risk measures of U.S. and global liquidity, leverage, and asset prices Assistant Economist, Research Group July 2010 - July 2012  Conducted research in mortgage markets. Projects included modeling the stages of the foreclosure process using a nested logit, determining the effect of an increasing share of distressed properties in the housing market, and measuring the influence of regulatory oversight on underwriting standards  Developed and calibrated a macroeconomic growth forecasting model using bank loan credit standards  Forecasted the impact of the failure of systemically important firms on short-term funding markets, focusing on the degree of concentration in each market and its linkages to the real economy  Collected and analyzed data for the FSOC’s annual reports describing the current macroeconomic environment, significant financial market and regulatory developments, and emerging threats to U.S. financial health

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PACIFIC INVESTMENT MANAGEMENT COMPANY LLC (PIMCO) London, UK Portfolio Summer Analyst on the Credit desk Jun 2016-Aug 2016

• Simulated daily portfolio duration rebalancing, trade sizing and distribution tasks for EMEA credit portfolio managers

• Created and developed automated files displaying holdings, risk measures and volumes traded by security/account number over time, while working closely with portfolio managers to tailor outputs to their needs (VBA, SQL)

• Group project: Gathered fundamental data on the European High-Yield credit market for September cyclical forum

• Offered full-time position as Portfolio Associate

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PROJECTS Princeton University: Individual project: “A Comparison of Risk Averse Portfolios” Group project: “Strategies on Creative Destruction” Ecole Polytechnique: Group project: “The Economic Impact of a Hypothetical Exploitation of Shale Gas in France” IT co-project: Developed a website using PHP and SQL


LANGUAGES English (TOEFL 115/120); French: native; Spanish: basic; Chinese: basic COMPUTER SKILLS VBA, Microsoft Office, R; Basic knowledge of PHP, SQL and Bloomberg

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Indian Institute of Technology Kharagpur (IIT) Kharagpur, India Bachelor and Master of Technology (Honors) - Electronics & Electrical Comm. Engineering 2007 - 2012

• CGPA: 8.67/10.00; Dept. Rank: 6/72

• Coursework: Probability & Stochastic Processes; Microeconomics; Linear Algebra; Advanced Calculus.

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“Improving momentum strategies using an investor sentiment index from media trends” • “Diversification benefits of combining momentum and carry strategies within FX long-short portfolio” • Built, monitored and conducted performance attribution of a long-only portfolio of 100 stocks.

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Skills Computer  Professional programming in Python, R and SQL, Presentations and Reports with MS Office and LaTeX.

 Academic knowledge of Signal Processing and Partial Differential Equations with Matlab, Calculus and Algebra in Maple.

 Optimization and simulation with Excel, Notions of Parallel Computing with C++, Notions of UNIX.

Languages  French native speaker, Fluent in English, Intermediate level in German.

Leadership  Vice President of the Student Council, in charge of external relations and CentraleSupelec.

Extracurricular Activities

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EXPERIENCE Quantitative Research, Penso Advisors LLC New York, NY Intern June 2016 – Aug 2016

• Conducted summer-long project to develop quantitative model given positioning data set for ~15 currencies utilizing statistical/machine learning techniques

• Developed optimization procedure for regularization parameter fitting

• Built data processing, model fitting, and backtesting architecture in R for relevant data sets and final model

• Produced and presented three presentations for senior leadership of fund

• Implemented parallelism in existing cross-validation code Investment Banking, J.P. Morgan Chase New York, NY Analyst, Corporate Finance Advisory June 2013 – Aug 2015

• Served as member of 30-person team of tax, derivative, and corporate finance experts specializing in structured M&A, corporate finance strategy, and risk management solutions for large-cap clients

• One of two analysts within J.P. Morgan’s investment bank specialized in modeling tax benefits in the context of corporate inversions

• Automated and ran model to calculate a firm’s risk exposure based on currency and commodity exposures

• Determined optimal debt portfolio composition for corporates and captive financing companies by floating/fixed mix at each tenor, currency, cash holdings, and pension exposure

• Built and ran financial models and Monte Carlo simulations to assess debt capacity, optimal liquidity, returns on share repurchase programs, and optimal leverage

• Built out and ran equity as an option valuation model

• Presented at client meetings

• Conducted 3 hour session at full time first year analyst training as a second year on corporate finance and structuring

• Select transactions: Megacap pharmaceutical company’s spin-off of its biotechnology division; European private jet operator’s first time bond issuance; Defense company’s spin-off of its power generation business

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SKILLS Computer: Proficient in R, Intermediate in Python, Beginner in C++ (in progress); Expert Excel and PowerPoint Languages: Fluent in Russian; Proficient in French Interests: European history, Exercise, Travel, Skiing, Hiking, Astrophysics, Reading – historical fiction/nonfiction Jeremie J. Holdom Graduate College, Clio Hall, Princeton, NJ 08540 jholdom@princeton.edu


Competitive Swimming: National Champion in 400m I.M. at the 2012 Canadian Interuniversity Sports (CIS) Championships, Member of 2013 and 2014 UofT CIS National Championships winning team Computer Skills: R, Python, Java, MATLAB, Excel, Bloomberg, LaTeX Aditi Jain Bendheim Centre for Finance, 26 Prospect Avenue, Princeton, NJ 08540 I aditij@princeton.edu I +1 609 727 2974

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EDUCATION Princeton University, Master in Finance Sep. 2015-Jun. 2017

• Courses: Asset Pricing: Stochastic Calculus and Advanced Derivatives; Financial Econometrics; Statistical Analysis of Financial Data; Institutional Finance: Trading and Markets; Behavioral Finance; Financial Risk Management

• GPA: 3.93/4.0 Peking University, Bachelor of Economics, Major in Finance Sep. 2011-Jul. 2015

• GPA: 3.80/4.0 (Ranking: 4th out of 180)

• Honors and Awards: 2012 Yihai Kerry Scholarship (2%); 2013 ICBC Scholarship (2%); 2014 Guanghua Scholarship (5%) University of California, Berkeley, Exchange Student Jan. 2014-May 2014

• Courses include: Financial Economics (Grade: A+), International Finance and International Trade (Grade: A+), and Topics in Economic Research


Government of Singapore Investment Corporation Jun.-Aug. 2016 Summer Associate, Equities Department, Total Return Group, New York

• Initiated research on the North American rail industry, and screened potential investment targets

• Did fundamental analysis of a semiconductor company, and built a DCF valuation model

• Conducted research on a Japanese cosmetics company, built a DCF valuation model and formulated an investment thesis China International Capital Corporation Mar.-Jun. 2015 Intern, Equity Research Department, Beijing

• Conducted research on the topic of China’s capital account liberalization, resulting in a report released to the public

• Wrote weekly reports on US stock market performance and thematic reports on China’s IPO subscription strategy

• Handled client requests on a daily basis; e.g. comparing overall valuation levels of different markets, gathering information and data of IPOs, SEOs, and rights offerings in the past ten years Deutsche Bank Jun.-Aug. 2014 Summer Analyst, Investment Banking Department, Financial Institution Group, Hong Kong Participated in the H-share listing of a reinsurance group and helped with research studies in the reinsurance industry • Performed capital need analysis and made comps sheets for banking, securities and asset management industry • Wrote China FIG Weekly every week, updating trading comps and market news • Pitched an M&A case in the securities industry in the final project, which was well received by the assessment panel • Received positive feedback and was extended a return offer • McKinsey Aug.-Sep. 2013 Part-time Assistant, Beijing

• Developed strategy for a leading company in the global fire protection and security solutions industry to enter China

• Conducted primary market research and helped build a retail market database using excel

• Successfully captured detailed information of hundreds of retail market brands by searching websites, annual reports and making cold calls to apparel brands

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BNP Paribas – Summer Associate June 2016 - Aug 2016 – New York, NY Equity Derivative Structuring: Built a Python HTML parser that scrapes through N-Q forms filed by 2,500 mutual funds to extract their investment holdings in various structured products along with tenor and counterparty. The tool identified 140 new custom indices ($3.4B notional) offered in the market, and provided a view of competitive landscape and the right time to target firms based on the tenor. The analysis was presented to Nicholas Marque (Global head of equity).

Oil Trading: Modeled Cushings’ inventory changes using Genscape pipeline data and regional price differentials.

Equity Strategy: Leveraged text mining in R to quantify FED’s tone across various indicators based on FOMC statements. Established that these indicators have strong correlation (~0.9) with SPY 3M ATM Implied volatility but no causality. Quantified the focus areas for the FED overtime based on relative weights of these indicators.

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Citigroup – Data Analyst, Retail Services June 2013 - May 2015 – Bangalore, India Part of the team responsible for risk management, pricing and business development of $56B Retail Cards portfolio

• Leveraged time series data across 400 dimensions for 25MM customers to build predictive models.

• Conducted fundamental analyses, competitive benchmarking and forecasted business performance on prospects.

• Built strategies to identify at risk customers and target them with risk mitigation products and price reduction.

Awards: Awarded Debutante Award by Bill Johnson, (CEO, Retail Services) for outstanding contribution towards exceptional delivery of solutions.

Arga Investment Management – Equity Research (Buy Side) May 2011 - July 2011 – Stamford, CT

• Analyzed company and industry fundamental data to build detailed models assessing drivers, risks and growth for firms like Renhe, First Group, Billabong to provide analyses for profit making investments worth $200K.

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