# Quant-Developers-Resources **Repository Path**: Ork_admin/Quant-Developers-Resources ## Basic Information - **Project Name**: Quant-Developers-Resources - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-12-15 - **Last Updated**: 2025-12-15 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Quant-Developers-Resources ![quant-developer](https://github.com/cybergeekgyan/Quant-Developers-Resources/assets/56320349/8b105090-9580-49cb-9f31-67918b14445c) ### Quant Roles `Quant Analyst` `Quant Researcher` `Quant Trader` `Quant Developer` `Algorithmic Trader` `Quant Strategist` `Quant Risk Analyst` `Quant Modeler` `Fixed Income Desk Quant` `Quant Finance Analyst` `Quantitative Engineering` `Quant Consultant` `Interest Rate Derivative Quant` `Treasury Quantitative Analyst` `Risk Analyst` `Market Risk Quant` `Risk Manager` `Financial Engineer` `Credit Risk Analyst` `Market Risk Analyst` `Model Risk Analyst` `Model Validation Analyst` ## 🔥Hiring Process - 1) `Mental Math/Speed Math/Logic/Numerical Tests` - 2) `BrainTeasers and Puzzles` - 3) `Probability and Statistics` - 4) `Market Making/Betting & Trading Games` - 5) `Pattern Finding and Logic` - 6) `Technical Rounds` - 7) `Behavioral/Role Fit Rounds` ## 🚀 Most Important Topics for Quant Interviews 1) Probability and Statistics 2) Derivatives 3) Option Pricing Models 4) Greeks (Delta, Gamma, Rho, Theta, Vega) 5) Fixed Income Product 6) Stochastic Calculus 7) Machine Learning and Data Science 8) Econometrics 9) Risk-Neutral Valuation 10) Interest Rate Models 11) Volatility 12) Numerical Methods 13) Arbitrage Pricing Theory and No-Arbitrage Principle 14) Credit Derivatives 15) Regulatory Framework 16) Portfolio Management and Hedging Strategies 17) Exotic Options 18) Market Microstructure 19) Real-World Applications and Recent Trends 20) Portfolio Theory and Optimization 21) Algo Trading ### 🧰 Mathematics & Other Topics - Linear Algebra - Calculus - Permutations & Combinations - Probability Theory - Statistics - Optimization - Differential Equations - Ordinary Differential Equations (ODEs) - Partial Differential Equations (PDEs) - Taylor Series Approximation - Applied Stochastic Calculus - Ito's Lemma - Martingales - Brownian Motion - Stochastic Differential Equations - Stochastic Integrals - Laws of Motion for Asset Pricing - Limit Theorems - Law of Large Numbers - Central Limit Theorem - Weak Law of Large Numbers - Time Value of Money - Asset Classes - Fixed Income - Equity - Derivatives - Commodity - Options Pricing Models - Black-Scholes-Merten Model for European Options - GreeksA(Alpha, Gramma, Theta, Delta, Vega, Rho) - Exotic Options and Pricing Methods - Portfolio Optimization - Arbitrage Theory - Risk Management - Value at Risk (VaR) - Conditional Value at Risk(CVaR) - Expected shortfall - Risk Measures - Portfolio Risk Assessment - Financial Theories and Models - Randomized Algorithms - Volatility Modeling - Mathematical Puzzles - Logical Reasoning ### 🧰 Programming Languages - Statistical Languages - Programming Languages - Python - C++ - R - MATLAB - SAS - Best Practices in Programming ### 🧰 Data Stack - Data Science and Machine Learning - Regression Analysis Ordinary Least Squares (OLS) - Logistic Regression - Generalized Linear Models - Time Series Analysis - Basics of Time Series and Stochastics Processes - AR & MA models - Stationarity & Ergodicity - Autocorrelation & Partial Autocorrelation functions - GARCH, ARCH & EWMA models for Volatility forecasting - Monte Carlo Methods - Monte Carlo Simulation for pricing and risk assessment - Variance Reduction techniques(eg., control variates, antithetic variates) - Markov Chains - Transition Matrices and Markov Property - State Space, absorbing states and recurrent states - Steady-State and long-term behavior of Markov Chains - Nonparametric Methods - Data Cleaning and Processing - Data Exploration - Exploratory Data Analysis(EDA) - Supervised Learning and Unsupervised Learning - Advanced Machine Learning Techniques - Neural Networks - Gradient Boosting ### 🤟Best Lectures on Stochastic Calculus 🎯🎯 1. MIT Financial Mathematics --> [Link](https://lnkd.in/ghfKjRJC) 2. IIT Kanpur --> [Link](https://lnkd.in/g6dqCeJs) 3. School of Economics (Stochastic Calculus) --> [Link](https://lnkd.in/gqbcuv-2) 4. MIT (Discrete Stochastic Process) --> [Link](https://lnkd.in/gxBjRG6b) 5. Probability Systems Analysis and Applied Probability --> [Link](https://www.youtube.com/watch?v=j9WZyLZCBzs&list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8&index=1) ### 👍 Websites - https://www.cut-the-knot.org - https://brainstellar.com - https://qfeuniversity.com/topics/ - https://github.com/cbailes/awesome-deep-trading ## 📚 Top Books for Acing a Quantitative Analyst Interview - Heard on The Street: Quantitative Questions from Wall Street Job Interviews - Frequently Asked Questions in Quantitative Finance - Quant Job Interview Questions And Answers - A Practical Guide To Quantitative Finance Interviews - Starting Your Career as a Wall Street Quant: A Practical, No-BS Guide to Getting a Job in Quantitative Finance - Mathematical Statistics and Data Analysis - `Mathematical Statistics` - Financial Risk Management and Financial Institutions - `Financial Risk Management` - Options, Futures and Other Derivatives - `Options & Derivatives` - Bond Markets, Analysis and Strategies - `Fixed Income Products` - Monte Carlo Methods in Financial Engineering - `Monte Carlo Methods` - Stochastic Calculus for Finance II - `Stochastic Calculus for Finance` ## 📚Books for Technical Rounds - Heard on the Street by Timothy Falcon Crack - Fifty Challenging Problems in Probability With Solutions by Frederick Mosteller - Entertaining Mathematical Puzzles by Martin Gardner - Mathematical Puzzles: A Connoisseur’s Collection by Peter Winkler - A Practical Guide To Quantitative Finance Interviews by Xinfeng Zhou ## 📖Most Important Books for Quant Developers and Software Engineers | Sr. No. | Book | Link | | --------|------|-----| | 01. | Effective Modern C++ | | 02. | C++ High Performance 2nd edition | | 03. | The Linux Programming Interface | | 04. | Introduction to Probability and Statistics for Engineers and Scientists | | 05. | A Practical Guide To Quantitative Finance Interviews | | 06. | Fifty Challenging Problems in Probability | | 07. | C++ Concurrency in Action | | 08. | But how do it know? - J. Clark Scott | | 09. | Design Patterns: Elements of Reusable Object-Oriented Software - Erich Gamma | | 10. | C++ Best practices - Jason Turner | | 11. | C++ 17 in detail - B. Filipek | ## 📚Books for Quant Traders 1. Option Volatility and Pricing by Sheldon Natenberg 2. Dynamic Hedging 3. Frequently Asked Questions in Quantitative Finance, Second Edition by Paul Wilmott 4. Python for Data Analysis 5. Python for Finance by Yves Hilpisch 6. Introduction to Linear Algebra by Gilbert Strang 7. Advances in Portfolio Management by Grinold and Kahn 8. Technical Analysis is Mostly Bullshit 9. Harris - Trading and Exchanges 10. Sinclair - Volatility Trading 11. Hull - Options, Futures, and Other Derivatives # 🔥These 10 Youtube playlists will teach you more than a $200,000 Masters Degree | Sr. No. | Playlist | Link | |-----| -----| ------| | 1) | Quantitative Stock Price Analysis with Python, pandas, NumPy Matplotlib & SciPy | https://lnkd.in/gNWDheqp | 2) | Yves Hilpisch - Python for Quant Finance | https://lnkd.in/gmfaRTz9 | 3) | A Quant Finance Project in Python: Estimating a Risk Factor Model for a Stock with Live Data | https://lnkd.in/gNxGHeJq | 4) | Stock Price Prediction Using Python & Machine Learning | https://lnkd.in/gEXi2Wfs | 5) | How to Code a Trading Bot in Python - Beginners Guide | https://lnkd.in/gQwKhswK | 6) | Algorithmic Trading Python 2023 | https://lnkd.in/gNpUEMZr | 7) | Algorithmic Trading Using Python - Full Course | https://lnkd.in/gWxTii4g | 8) | Introduction to Algorithmic Trading Using Python - How to Create & Test Trading Algorithm | https://lnkd.in/g5hYN6Ta | 9) | Two Sigma Presents: Machine Learning Models of Financial Data | https://lnkd.in/g6QBhtxx | 10) | How quant trading strategies are developed and tested w/ Ernie Chan | https://lnkd.in/gBxKxnFn | 11) | IIT Kanpur Quant Finance course by Professor Raghu Nandan | https://lnkd.in/dHewAfYc | 12) | IIT Bombay, Stochastic Process course by Prof. Manjesh Hanawal | https://lnkd.in/gRq6f-NJ | 13) | MIT Financial Mathematics course | https://lnkd.in/gwmmyWrz | 14) | Yale Univerity Quantitative Finance course | https://lnkd.in/gqGXFGeZ | 15) | Mathematical Methods for Quantitative Finance | https://lnkd.in/gPTRQMdc | 16) | IIT Guwahati - Mathematical Finance | https://lnkd.in/gHwrzhEa | 17) | Introduction to computer science and programming in Python | https://lnkd.in/gFX4XZPp | 18) | Computational Finance by Leipzig University | https://lnkd.in/gHMkr8Ue | 19) | IIT Kanpur Probability and Stochastics for Finance - by Professor Joydeep Dutta | https://lnkd.in/ggDJkVgE | 20) | Harvard Applied Mathematics | https://lnkd.in/gzrYZ7Ne | 21) | Harvard CS50 – Full Computer Science University Course | https://lnkd.in/gK9qVMQX (If you don't have a coding background) ## 📚Books for FPGA(Field Programmable Gate Array) | Sr. No. | Book | Link | | --------|------|-----| | 01. | High-Performance FPGA-Based Accelerators for Financial Applications | | 02. | FPGA Prototyping by VHDL Examples | | 03. | FPGA-Based Implementation of Signal Processing Systems | ## 🎆 Companies that Hire Quant Developers and Software Engineers in India along with CTC and Location | Sr. No. | Company | CTC | Location | website | |---------|---------|------|---------|---------| | 01. | Quadeye | | | https://www.quadeye.com/ | | 02. | Graviton Trading | | | https://www.gravitontrading.com/ | | 03. | AlphaGrep | | | https://www.alpha-grep.com/ | | 04. | WorldQuant | | | https://www.worldquant.com/home/ | | 05. | Tower Research Capital | | | https://www.tower-research.com/ | | 06. | NK Securities Research | | | https://www.nksecurities.com | | 07. | Quadeye | | | | 08. | Futures First | | 09. | Open Futures | | 10. | SMC Global | | 11. | Open Markets | | 12. | MyFinDoc | | 13. | Algo Bulls | | 14. | Tvisi Algo Systems | 15. | AlgoJi | 16. | Dolat Group | 17. | Estee Advisors | 18. | Goldman Sachs | 19. | Morgan Stanley | 20. | IRage Capital | 21. | APT Portfolios | 22. | Two Roads Tech | 23. | Acceletrade | 24. | Edelweiss | 25. | Qnance | 26. | QuantAI Capital | 27. | Samsara Capital | 28. | Wallsoft | 29. | Square point Capital | 30. | Jump Trading | 31. | Callisto Talent Solutions | 32. | Allegis Global Solutions | 33. | Tensorfox | 34. | Fionics | 35. | HuntingCube Recruitment Solutions | 36. | Tiger Analytics | 37. | AlgoCapital Group ## List of Firms that Hires Undergraduates for Quant Trading and Quant Research Roles | Sr. No. | Company | CTC | Location | website | |---------|---------|------|---------|---------| | 01. | ➡ Akuna Capital | 02. | ➡ AlphaGrep | 03. | ➡ AQR Capital | 04. | ➡ Belvedere Trading | 05. | ➡ Bridgewater Associates | 06. | ➡ Citadel / Citadel Securities | 07. | ➡ Cubist Systems (Point72) | 08. | ➡ DE Shaw | 09. | ➡ DRW | 10. | ➡ Five Rings Capital | 11. | ➡ Flow Trading | 12. | ➡ Gravtion Research Capital | 13. | ➡ Hudson River Trading | 14. | ➡ IMC | 15. | ➡ Jane Street Capital | 16. | ➡ Jump Trading | 17. | ➡ NK Securities | 18. | ➡ Optiver | 19. | ➡ Quadeye | 20. | ➡ Quantbox Research | 21. | ➡ Susquehanna International Group (SIG) | 22. | ➡ Tower Research Capital | 23. | ➡ Two Sigma | 24. | ➡ Voleon | 25. | ➡ Voloridge | 26. | ➡ WorldQuant | 27. | ➡ Aquatic Capital | 28. | ➡ Chicago Trading Company | 29. | ➡ Cutler Group | 30. | ➡ Group One Trading | 31. | ➡ Old Mission Capital | 32. | ➡ Peak6 | 33. | ➡ Plutus Research | 34. | ➡ Valkyrie Trading | 35. | ➡ Vatic Labs | 36. | ➡ Virtu Financial | 37. | ➡ Wolverine Trading | 38. | ➡ XR Trading | 39. | ➡ Headlands Technologies | 40. | ➡ TransMarket Group | 41. | ➡ 3Red Partners | 42. | ➡ Allston Trading | 43. | ➡ Ansatz Capital | 44. | ➡ ART Advisors | 45. | ➡ Blackedge Capital | 46. | ➡ Bluefin Companies | 47. | ➡ Cognitive Capital | 48. | ➡ Da Vinci Derivatives | 49. | ➡ Domeyard | 50. | ➡ DV Trading | 51. | ➡ G-Research | 52. | ➡ Gelber Group | 53. | ➡ Geneva Trading | 54. | ➡ Liquid Capital Group | 55. | ➡ Mako Trading | 56. | ➡ Maven Securities | 57. | ➡ Maverick Derivatives | 58. | ➡ Millenium Advisors | 59. | ➡ Nine Mile Financial | 60. | ➡ PDT Partners | 61. | ➡ Quadrature Capital | 62. | ➡ Quantlab | 63. | ➡ Qube Research & Technologies ## 🔥List of 20 Fellowships, Graduate programs, and insight weeks, that can help you crack Jobs at Top Hedge Funds, HFT, and Prop Shops *The best time to crack top Quant Jobs is during your undergraduate years, or when pursuing MFE or a master's in a related subject.* | Sr. No. | Fellowship/Program | Link| Year | | -----| --------| -------------|----| | 1) | CITADEL -Trading Invitational | https://lnkd.in/gK-rTYPZ | `2024` | | 2) | D. E. Shaw & Co. Discovery Fellowship | https://lnkd.in/erRew2J | 3) | D. E. Shaw & Co. Latitude Fellowship | | 4) | D. E. Shaw & Co. Momentum Fellowship | 5) | D. E. Shaw & Co. Nexus Fellowship | 6) | Bridgewater Rising Fellows Program | 7) | Bridgewater Investment Immersion Program | 8) | Akuna Capital University (Options 101, 201) | 9) | AQR Early Engagement Day | 10) | AQR Quanta Academy | 11) | Jane Street Graduate Research Fellowship | 12) | Jane Street IN FOCUS | 13) | Jane Street INSIGHT | 14) | Jane Street JSIP | 15) | Jane Street Visiting Researcher / Prefaculty | 16) | Susquehanna International Group Sophomore Discovery Day – Trading | 17) | Two Sigma College Mentor Connect | 18) | Two Sigma PhD Fellowship | 19) | Two Sigma Undergraduate Scholarship | 20) | WorldQuant BRAIN ## 🔥 If you are applying for Quant and Risk positions, do check out this list. There are various positions that you can continuously monitor. Common positions are `quant analyst`, `risk analyst`, `model validation`, `quant developer`, `quant researcher`, `statistician` etc., 😁😁 1. JPMorgan Chase & Co. 2. Bank of America Corp. 3. Wells Fargo & Co. 4. Citigroup Inc. 5. Goldman Sachs Group Inc. 6. Morgan Stanley 7. U.S. Bancorp 8. Truist Financial Corporation 9. PNC Financial Services Group Inc. 10. TD Bank, N.A. 11. Charles Schwab Corporation 12. Bank of New York Mellon Corporation 13. Capital One Financial Corporation 14. State Street Corporation 15. HSBC North America Holdings Inc. 16. American Express Company 17. Ally Financial Inc. 18. Citizens Financial Group, Inc. 19. BMO Financial Corp. 20. Fifth Third Bancorp 21. Northern Trust Corporation 22. KeyCorp 23. Regions Financial Corporation 24. Huntington Bancshares Incorporated 25. M&T Bank Corporation 26. Discover Financial Services 27. Synchrony Financial 28. BBVA USA 29. MUFG Americas Holdings Corporation 30. Santander Holdings USA, Inc. 31. Comerica Incorporated 32. E*TRADE Financial Corporation 33. Barclays US LLC 34. CIBC Bank USA 35. BNP Paribas USA, Inc. 36. Credit Suisse Holdings (USA), Inc. 37. Deutsche Bank Trust Corporation 38. UBS Americas Holding LLC 39. RBC US Group Holdings, LLC 40. Citizens Bank, N.A. 41. BOK Financial Corporation 42. Popular, Inc. 43. Valley National Bancorp 44. Zions Bancorporation, N.A. 45. First Horizon National Corporation 46. Synovus Financial Corp. 47. TIAA, FSB 48. John Deere Capital Corporation 49. Associated Banc-Corp 50. Western Alliance Bancorporation 51. Wintrust Financial Corporation 52. Pinnacle Financial Partners Inc. 53. UMB Financial Corporation 54. Raymond James Financial, Inc. 55. Sterling Bancorp 56. First Citizens BancShares, Inc. 57. BankUnited, Inc. 58. Prosperity Bancshares, Inc. 59. Texas Capital Bancshares, Inc. 60. PacWest Bancorp 61. New York Community Bancorp, Inc. 62. Commerce Bancshares, Inc. 63. Frost Bank 64. Stifel Financial Corp. 65. Old National Bancorp 66. First National of Nebraska, Inc. 67. F.N.B. Corporation 68. First Republic Bank 69. Signature Bank 70. American National Insurance Company 71. Silicon Valley Bank 72. First Hawaiian Bank 73. Webster Financial Corporation 74. East West Bancorp, Inc. 75. Cullen/Frost Bankers, Inc. This list includes a mix of commercial banks, investment banks, and financial services companies with significant banking operations. ## Star History [![Star History Chart](https://api.star-history.com/svg?repos=cybergeekgyan/Quant-Developers-Resources&type=Date)](https://www.star-history.com/#cybergeekgyan/Quant-Developers-Resources&Date)