Here is the List of keywords for the Quant role resume after analyzing 50+ Job Description for Equity derivative quant and Factor research Quant
Equity Derivative Quants at Investment Bank
Quantitative skills:?Strong mathematical background, probability theory, statistics, numerical methods, stochastic calculus, and machine learning.
Programming skills:?Python, C++, R, MATLAB, SQL
Analytical skills:?Problem-solving, data analysis, hypothesis testing, research capabilities.
Technical Skills:
Equity derivatives:?Options, futures, swaps, forwards, knock-in/knock-out options, barrier options, volatility derivatives.
Greek analysis:?Delta, gamma, theta, vega, rho, and their interpretation for trading and risk management.
Models -Heston Model, Local volatility model, Model calibration, stochastic volatility models.
Numerical methods:?Finite difference, finite element, Monte Carlo simulation for pricing and risk analysis.
Optimization:?Linear programming, quadratic programming, constrained optimization for portfolio management and derivative structuring.
Specific Roles:
Front-office Quant:?Pricing and risk analysis for derivative trading desks, developing trading strategies, backtesting and optimization of algorithms.
Structuring Quant:?Designing and pricing customized derivative products for client needs, understanding client investment objectives and risk tolerance.
.
Factor Research Quant
Statistical Modeling:?Time series analysis,?regression analysis,?factor construction,?anomaly detection,?machine learning (e.g.,?regressions,?trees,?random forests,?neural networks),?dimensionality reduction techniques (e.g.,?PCA)
Econometrics:?Empirical asset pricing,?market microstructure,?GMM estimation,?VAR models,?ARCH/GARCH models
Programming Languages:?Python (libraries like Pandas,?NumPy,?Scikit-learn,?PyTorch,?TensorFlow),?R (libraries like dplyr,?quantmod),?C++,?SQL
Data Management:?Financial data wrangling,?cleaning,?and manipulation,?Bloomberg experience
Specific Factor Research Skills:
Alternative data analysis:?Analyzing non-traditional data sources (e.g.,?satellite imagery,?web traffic,?news sentiment) for alpha generation
Smart beta strategies:?Factor investing,?alpha factor identification and refinement,?multi-factor models
Quantitative alpha analysis:?Identifying and exploiting statistical anomalies in financial markets
Market microstructure considerations:?Transaction cost analysis,?impact of trading on prices,?illiquidity adjustment
Kickstart your Quant Interview Prep with Quant Insider.
Check out Quant Insider Stack -?https://lnkd.in/gcfdUEfg
A Bundle of?Interview Byte, Quantopia Library, and Quant Insider Project Handbook?with Bonus Resources.
‘Interview Byte’ contains 500+ Interview questions (https://lnkd.in/gkqcrrKf)
Quantopia Library is the goldmine for building your domain knowledge and technical skills. (https://lnkd.in/geThBB4d)
