Raj Singh

Consultant

Satna, Madhya Pradesh, India3 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Developed 70+ trading strategies with high returns.
Created neuro-symbolic AI for rare event prediction.
Led projects in portfolio optimization and algorithmic trading.

Stackforce AI infers this person is a Fintech and AI enthusiast with strong quantitative research skills.

Contact

raj89962@gmail.com LinkedIn

Skills

Core Skills

Quantitative FinanceFinanceRisk ManagementOrderbook TradingInvestingMachine LearningTradingTechnical AnalysisResearch SkillsGame DevelopmentGraphic DesignFront-end DevelopmentHtml5

Other Skills

AnalyticsAsset ManagementAttention to DetailAutodesk TinkercadBacktestingBasic ElectronicsBlenderBloomberg TerminalC++Cascading Style Sheets (CSS)CommunicationComputer ScienceData AnalyticsData ModelingData Science

About

I am a passionate and driven student at the Indian Institute of Technology, Kharagpur, pursuing a Bachelor's degree. With hands-on experience in quantitative research, machine learning, and data science, I thrive on solving complex problems and developing innovative solutions. Currently, I am a Research Consultant at WorldQuant, where I apply statistical methods and machine learning techniques to optimize financial models. My internship at the University of South Carolina allowed me to develop a neuro-symbolic AI approach for predicting rare events in time series data. As the Sub Head of SPARK4AI and an active member of the Quant Club at IIT Kharagpur, I have honed my leadership and technical skills. I have led projects on portfolio optimization and algorithmic trading, consistently delivering data-driven insights and strategies.

Experience

3 yrs 3 mos

Total Experience

1 yr 3 mos

Average Tenure

2 yrs 6 mos

Current Experience

Axxela

Fixed Income Derivatives Trader

May 2025 – Jul 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Traded in ESTR & EURIBOR Derivatives

Order bookBloomberg TerminalFundamental AnalysisRisk ManagementOrderbook Trading

Quant club, iit kharagpur

3 roles

Executive Head & Senior Quant Researcher

Promoted

Aug 2024 – Jul 2025 · 11 mos

Stock MarketInvestingQuantitative FinanceQuantitative Models

Associate Quant Researcher

Oct 2023 – Aug 2024 · 10 mos

In my role as an Associate Quant Researcher at the Quant Club, I engage in advanced quantitative research projects, focusing on financial modeling and algorithmic trading. I have developed and implemented complex mathematical models for portfolio optimization and published detailed analyses to support data-driven investment decisions.

Machine LearningDeep LearningTradingTime Series AnalysisFuturesBacktesting+5

Quant Trainee

May 2023 – Oct 2023 · 5 mos

As a Quant Trainee, I underwent extensive training in finance, technical analysis, and algorithmic trading. I collaborated on projects involving data science and mathematical modeling, gaining hands-on experience in applying quantitative techniques to solve financial problems.

Stock MarketFinanceTechnical AnalysisMathematicsStock Market AnalysisSupervised Learning+2

Deakin university

Research Intern

Apr 2024 – Aug 2024 · 4 mos

Selected as research intern through the Foreign Training Program (FTP) by International Relations Cell.

Worldquant

Research Consultant

Dec 2023 – Present · 2 yrs 6 mos

Built and submitted 70+ long-short trading strategies (alphas) across global markets—including the USA, Europe, and Asia—utilizing price-volume, sentiment, and fundamental datasets. Achieved a maximum Sharpe ratio of 4.62 and returns up to 76.42%, with low inter-alpha correlation (<0.7) to ensure robust diversification.
Automated the entire alpha generation and backtesting pipeline using Python scripts integrated with the WorldQuant API. Employed parallel processing to evaluate up to 10 alphas simultaneously, resulting in a 30% reduction in development time and significantly improving research throughput.
Attained Gold Level Consultant status on the WorldQuant BRAIN platform by consistently delivering high-quality, high-performance alphas. Recognized for strategic innovation in model design, validation across multiple market regimes, and ability to identify persistent market inefficiencies.
Gained deep exposure to quantitative finance, learning advanced techniques in alpha modeling, statistical arbitrage, and predictive analytics through WorldQuant’s structured training ecosystem and hands-on alpha competitions.
Collaborated across a global community of quantitative researchers, refining models based on feedback and contributing to a growing library of market-predictive strategies used in systematic trading.

FinanceQuantitative FinanceBacktestingAsset Management

University of south carolina

Research Intern

Nov 2023 – Aug 2024 · 9 mos · South Carolina, United States

During my internship at the University of South Carolina, I am working on a project to develop a neuro-symbolic AI approach for predicting and forecasting rare events in the manufacturing domain. This involves utilizing logistic regression, K Nearest Neighbors, and neural networks to classify rare events with high accuracy. Additionally, I train models like GRU, SVM, and FB Prophet to achieve precise forecasting results. This experience has significantly enhanced my skills in machine learning and AI applications in real-world scenarios.

Deep LearningResearch SkillsMachine Learning