TIAN ZHANG
ResumeSolid Quantitative Skills
I am proficient in Python, C++, SQL and VBA. All As in Machine Learning, Statistical Data Analysis, Optimization Models & Methods, Stochastic Models, Monte Carlo Simulation, Computational Methodology in Finance, Analysis of Algorithms
Creative Innovator
At UBS, I completed changed the work and life of my team by implementing various VBA tools to handle life cycle management automatically, to mitigate the manual error calculated by trading desks, and to monitor the Greek variables dynamically. Those mini-projects saved over 20 labor hours per week.
• Unearthed the total available market, potential revenue trajectory, competition landscape through 20+ interviews with cross-sectors industry experts and meetings with company executives • Generated an investment idea for GO with DCF model, received buy-in from analysts and portfolio manager, and realized 18%+ 2 months return • Covered 10+ consumer and technology small and mid-cap growing stocks including GO, BYND, WE, EHTH, INSP
• Designed an architecture of website integrating with a database and worked with an engineer to implement in AWS • Developed a business model by identifying potential markets of corporate social responsibility fund, licensing artworks with three NGOs, and implementing production cycles with one gallery and two stationary factories • Conducted extensive survey for 130+ potential customers to optimize the customer satisfaction by improving designs of valued-added derivative products originated from artworks by autistic artists
• Conducted research on strategy and risk paragraphs in 800+ mutual fund prospectuses by Natural Language Processing • Analyzed funds investment behaviors by clustering algos; designed interactive 2D/3D plots to visualized data
• Built toolkits to analyze macroeconomics factors by minimum spanning tree and K-Means clustering in Python • Revamped stock sentiment signal by extracting and identifying trade-on ratios trends through Bloomberg API; integrated into web portal and back-tested accuracy by forward-alpha to improve 35% accuracy • Constructed a prediction model by integrating credit card sales and web traffic data, and generated signals by comparison with consensus estimations
• Invested over ¥500,000 ($72,500) liquid asset on money market products and stocks from whitelisted financial services • Spearheaded evaluation and bidding for three thermal projects generating over ¥8,000,000 ($1,150,000) gross revenue • Managed partnerships with domestic and foreign vendors and clients across 5+ countries/regions
• Conducted prices, payoffs adjustment and risk metrics (Delta, Gamma) analysis for over 10 equity markets • Enhanced trade capturing process resulting in 67% increase of trade accuracy and efficiency: automated event-driven adjustments for single stock, exchange-traded derivatives, over-the-counter options, warrants, and synthetic futures • Initiated non-deliverable forward automation project with 10 team members to smooth front-to-back trade flow, justifying 100% increase in trade processing efficiency and accuracy for over 2000 deals/monthly
Tian ZHANG
523 West 112th Street
New York, NY
10025
Mail. tzhang20@gsb.columbia.edu
Phone. +1 551 (208) 9638