Kashish Singla

Associate Consultant

Mysore, Karnataka, India3 yrs 4 mos experience

Key Highlights

Expert in quantitative finance and algorithmic trading.
Proficient in Python and data analysis for trading strategies.
Strong background in risk management and market dynamics.

Stackforce AI infers this person is a Quantitative Finance expert with a focus on algorithmic trading and data-driven strategies.

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Skills

Core Skills

Quantitative FinanceAlgorithmic Trading

Other Skills

Ad Hoc AnalysisAnalytical SkillsAnalyticsAttention to DetailBacktestingButterflyCommodity Risk ManagementCommunicationCritical ThinkingData ModelingData QualityData VisualizationExploratory Data AnalysisFeature EngineeringFinance

About

"Striving to revolutionize the world one algorithm at a time; Transitioned from the role of a Trader to fully immerse in the world of quant finance. A Chemical Engineering alumnus from NIT Jalandhar, I've delved into the heart of trading with internships at Futures First, BB Advisory, while contributing to analytical projects. The fusion of automation and market dynamics fuels my passion, driving me to explore innovative strategies and solutions. Proficient in Python for data structures, algorithms, and algo trading, as well as Excel for precise data structuring. My expertise lies in arbitrage trading and leveraging data-driven insights to capitalize on market opportunities. Eager to apply my skills in the quantitative realm of trading and automation, I seek collaborative opportunities to drive success. • Modelling • Backtesting • Statistics • Automation • Optimization • Risk Analysis • Forecasting • Arbitrage • Execution • Problem Solving • Python • Data Cleaning • Data Transformation • Data Analytics • Quantitative Analysis • Statistical Modelling

Experience

3 yrs 4 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 9 mos

Current Experience

Findoc

Quantitative Strategist

Sep 2024 – Present · 1 yr 9 mos · India · On-site

Conducted quantitative research and traded strategies in Indian derivatives markets, primarily focusing on options.
Monitored and mitigated market risk using Greek-based models to generate highly risk-adjusted strategies.
Developed and implemented MFT-based models, integrating predictive pricing models using statistical and machine
learning techniques, leveraging cutting-edge infrastructure.
Researching and applying Quant concepts to devise cutting-edge trading models, integrating historical price and volume inputs.
Technical expertise in using TradeStation, Omega, and Trading Technologies for developing, backtesting, and executing trading strategies.
Proficient in Python, SQL, MS Excel, Power BI, and utilizing libraries like NumPy and Pandas for data analysis and visualization.

Quantitative ResearchTrading StrategiesMarket Risk ManagementPredictive Pricing ModelsStatistical TechniquesMachine Learning+8

Futures first

2 roles

Quantitative Strategist

Promoted

Jul 2023 – Sep 2024 · 1 yr 2 mos

Researching and applying Quant concepts to devise cutting-edge trading models, integrating historical price and volume inputs.
Building and deploying high-performance trading strategies, continuously improving them through rigorous backtesting using tick-by-tick historical data.
Implementing risk allocation and portfolio construction methods while scaling successful strategies to optimize returns.
Performing deep-dive analysis and generating new alphas, enhancing trading decisions and performance.
Technical expertise in using TradeStation, Omega, and Trading Technologies for developing, backtesting, and executing trading strategies.
Proficient in Python, SQL, MS Excel, Power BI, and utilizing libraries like NumPy and Pandas for data analysis and visualization.

Quantitative ResearchHigh-Performance Trading StrategiesBacktestingRisk AllocationPortfolio ConstructionPython+7

Quantitative Research Analyst

Jan 2023 – Jun 2023 · 5 mos

Direct responsibility and full authority to maximize profits and minimize risk in trading on short term basis in fast-pace, dynamic market
Generate profit and manage risk using reasoning of market trends, as well as thorough analysis of macroeconomic conditions and technical indicators