Student Skills and Interests

This questionnaire estimates class-level demand and specialized skill supply before course project materials are finalized. It is used only for course administration and does not reserve or promise any specific project. It should take about 15 minutes.

Important: These questions are designed to gauge interest and skills for past, current, and future projects. THEY DO NOT REPRESENT CURRENT PROJECTS SPECIFICALLY.

Full name *Enter your name as it appears in your institution’s records.0 / 150

Institutional email address *Use the email address issued by your university. We will use it only for course administration.

Student identifier *Your institution’s normal student ID number. This is not a Social Security number – never enter a Social Security number, national ID number, or any government identifier here.0 / 64

Degree or programOptional. For example: MS Operations Research, MS Data Science, MBA.0 / 150

Class *Select the class or cohort in which you are enrolled.

Academic year *The calendar year of the term you are currently in.

Term *The term you are currently in.

Resume

Resume PDF *

No file chosen

Required. Upload one PDF file, no larger than 10 MB.

Portfolio or repository linkOptional. A GitHub repository, portfolio, or project page. Must begin with https:// if provided.

Additional supporting linkOptional. Any other relevant material. Must begin with https:// if provided.

Project load and role

How many concurrent projects would you be willing to take? *

How many hours per week can you usually spend on project work? *

Would you be willing to serve as a project manager or team lead?YesNo

Analytical interests

LLM/NLP, AI agents, and RAG

AI governance, model evaluation, compliance, and legal technology

Market microstructure, order book data, latency, and high-frequency data

Systematic trading, signals, and backtesting

Portfolio risk, synthetic data, stress testing, and simulation

Private markets, venture capital, due diligence, and fund cash flows

Banking, credit, fixed income, and macroeconomics

Wealth management and financial planning

Financial statements, accounting, valuation, and corporate finance

Business analytics, KPI dashboards, operations, and customer intelligence

Data engineering, APIs, databases, and production software

Forecasting, time series, econometrics, and causal inference

Sustainability, ESG, carbon, and environmental finance

Healthcare, biomedical, and medical analytics

Research paper / publishable research projects

Other cross-disciplinary or sponsor-specific projects

Data types you would like to work withMarket Prices and VolumeFinancial StatementsClient or Advisor DataMacroeconomic and Policy DataEarnings Calls and TextSynthetic DataPrivate-Market DataAlternative DataOptional. Select any data types you would be comfortable working with.

Rare skill supply

Skill level: Order-book, tick-data, and market-data engineering

Skill level: Fixed income, credit, and credit-risk modeling

Skill level: Bank financial statements, call reports, and regulatory filings

Skill level: Bank equity valuation, ROTE, capital return, and tangible book value

Skill level: Bank capital, liquidity, regulation, and stress testing

Skill level: Private credit, NDFIs, fund finance, and credit disintermediation

Skill level: Private-company due diligence and comparable-company analysis

Skill level: Corporate finance, valuation, and financial modeling

Skill level: Financial statement and earnings-call analysis

Skill level: Bloomberg, LSEG, WRDS, or similar institutional data platforms

Skill level: SEC filings, XBRL, and public-company data extraction

Skill level: LLM evaluation, RAG, and retrieval-grounded AI systems

Skill level: Time-series econometrics, GARCH, panel regressions, or event studies

Skill level: Backtesting with transaction costs, lookahead controls, and slippage

Skill level: Optimization and operations research

Skill level: Cloud, API, SQL, and data-engineering pipelines

Skill level: Multilingual NLP or translation-aware text analytics

Skill level: Healthcare, medical, or biomedical data

Skill level: Sustainability, carbon, ESG, or environmental-performance data

Evidence for specialized skillsBriefly describe one project, job, research experience, or production system for any skill you marked as internship/job or research/production.0 / 2000

Evidence for selective or high-demand workOptional. Mention background that would support assignment to selective quantitative finance, banking, private-market, AI, or other high-demand work.0 / 2000

Constraints and confirmation

People you would like to work withOptional. Names or emails are both acceptable.0 / 1000

People you cannot work withOptional. This is treated as private assignment information.0 / 1000

Analytical areas, industries, or methods you strongly want to avoidOptional. This is a preference signal, not a guarantee.0 / 1000

Anything else relevant to project assignment?0 / 2000

Confirmation *I confirm that this submission is accurate and may be used for course administration.