Lingyin (Roger) Zhu
Address: *** ******* *****, **********, **, 60062
Email: ab80bg@r.postjobfree.com Cell: 716-***-****
EDUCATION PhD Candidate in Finance, with minors in Accounting, State University of New York,
2006 – 2009 (on campus), 2009-2012 (on leave), degree expected in summer 2013
PhD of Theoretical Physics, University of Florida, April 2005
PROFESSIONAL DESIGNATIONS & SERVICES
CFA exams all passed, designation pending on working experience; FINRA Series 56;
Society of Actuary Exam P1, FM2, MFE3 passed, C4 candidate, progress towards Chartered
Enterprise Risk Analyst;
Referees for Journal of Futures Markets, Pacific-Basin Finance Journal
WORKING EXPERIENCE
Ronin Capital (Quantitative Researcher/Portfolio Manager), 09/2011 to present
Led the ongoing research on multi-factor equity models; conducted rigorous quantitative analysis to search for
alpha sources, identify risk factors and construct long/short market neutral portfolios; monitoring market data to
detect opportunities that lead to trade decisions. Solely designed, back-tested and built into production several
statistical arbitrage strategies in US and Japan equity markets based on intraday/daily price movement (models
designed for current slow market condition deliver unleveraged return of 8%-10% with Sharpe ratio between 3-7
and average holding period being 3-5 days);
Managed active equity portfolios with book size about $25 Million; maintained the proprietary database of
historical trade/position profile; reviewed transaction reports to assure proper execution; conducted performance
attribution analysis to identify sources of realized return and risk; adjusted portfolio components/execution
parameters to evolving market situation for risk control and return enhancement
Built a proprietary pricing library & database to standardize/streamline research process from data to model to
simulation and evaluation; compiled and monitored scripts pool (Linux & Windows) for overnight production of
managed portfolios and real time target trades generation
Sought out, evaluated and integrated new sources of data and recent academic/practitioner literature to
promote portfolio ideas orthogonal to existing ones (e.g., collected RSS feed to compile news library for event-
driven portfolios development)
Property and Portfolio Research, (Senior Quantitative Researcher/Project Manager)
01/2011 to /09/2011
Supervised and coordinated research activities of junior team members; served as the point of contact between
Quantitative R&D group and Debt/Risk group to synchronize analytical/data process integration for commercial
real estate research
Overhauled the analytical component of PPR in-house portfolio management procedure for institutional
clients; initiated new DCF model at property and market level; developed and implemented rent index
methodology; solely designed and implemented return Monte Carlo engine to assess statistical properties of
PPR/CoStar Derived Market Returns Model and to improve quality control on model input for Compass/CMBS
risk products
Provided prototype implementation of research result for production; compiled technical whitepaper for
internal reference; summarized group work for internal and external presentation; provided direct research support
to top management to estimate commercial value of new models and to facilitate managerial decision making
Ronin Capital (Equity Quantitative Analyst), 10/2009 --- 01/2011
Led trading desk analytics procedure to design/back-test/deliver trading strategies; implemented and
calibrated standard pricing models for equity options including Black-Scholes, Heston-GARCH, and SABR;
forecasted market volatilities and interest rate dynamics using Kalman filter and GARCH model; developed and
implemented relative valuation models for ETFs to construct statistical arbitrage portfolios; studied tick level data
and tick test to explore high frequency trading strategies
Exported QuantLib pricing models/libraries into Python; designed and programmed GUI component of
proprietary trading platform with C#; automated scripts for daily production
SKILLS & QUALIFICATIONS
Computer & Database
• Python, R/S-Plus, MATLAB, SAS, SQL, C#/C++, FORTRAN77/90, VBA; Eclipse, Power Point,
Excel, Word, HTML, Latex and Notepad ++; object oriented design
Working knowledge of financial databases including CompuStat, CRSP, IBES, TAQ, FastTick,
1.
DataStream, Bloomberg, MarketQA, Yahoo API, CoStar Property & Comps; expert skills on large
dataset processing and scripts integration/automation
Analytical & Technical
Thorough understanding of modern portfolio theory, asset pricing models and market anomalies;
2.
practical knowledge of equity multi-factor alpha model design, portfolio construction, optimization
techniques, risk control, back-testing and portfolio performance attribution; abreast of evolving
trends in new ideas and academic literature
In-depth knowledge of corporate finance, financial accounting (GAAP/IFRS), earnings
3.
decomposition and forecasting, discounted cash flow analysis and valuation principle
Familiarity with risk management concepts; knowledge of loss model (frequency/severity)
4.
construction and calibration, credibility theory and their financial & actuarial applications
Solid quantitative background in financial mathematics, statistics, (spatial) econometrics and time
5.
series; working experience with various numerical methods (Optimization, Monte Carlo, Filters,
PDE etc.), model estimation techniques (MM, GMM, MLE etc.) and machine learning algorithms
(Robust regression, PCA, PLS, Cluster, etc.); familiarity with pricing models (equity, option, futures
and fixed income) and standardized exchange products; knowledge on US & Japan equity market
structure and trade execution issues
Managerial & Business Analytics
Clear communication and written/presentation skills; client-oriented consulting experience and
6.
people management experience
Hands on experience with product life cycle management including development,
7.
implementation, quality control, production and maintenance
Demonstrated problem solving skills – ability to identify issues, propose and implement solutions
8.
and summarize results; proven ability to prioritize/manage multiple projects and meet/beat deadlines;
self-starter in promoting ideas and dedicating to solutions
PUBLICATIONS & HONORS
10 journal articles in Physical Review Letter/B Series (list upon request)
1.
“How natural is natural preference: price clustering and information-based trading after tick
2.
decimalization”
“Re-examine efficacy of Reg-FD: a market perspective on earning revisions”
3.
“Impact of uncertainty, fear on liquidity and cross-sectional stock returns” (in progress)
4.
Awards list available upon request
5.