Indranil Majumdar

Product Manager

New Delhi, Delhi, India3 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed low latency algorithms improving trading performance.
Achieved 65% win rate in market movement capturing systems.
Expert in quantitative analysis and algorithm development.

Stackforce AI infers this person is a Fintech expert specializing in quantitative development and algorithmic trading.

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Skills

Core Skills

Quantitative AnalysisAlgorithm DevelopmentQuantitative Finance

Other Skills

AlgorithmsAlgorithms and Data StructuresArtificial Intelligence (AI)Automated Trading SystemsBacktestingBig Data AnalyticsBlack-ScholesBond PricingCC#C++CommunicationComputer ScienceData AnalysisData Structures

About

As a Quantitative Developer, I build low latency algorithms to improve backend performance in a FinTech platform. My main responsibility includes improving fill rate, lowering exchange time-lag and making robust, scalable codes to generate higher alphas for existing quantitative strategies of equity markets. Earlier I have implemented automated systems that traded short-term interest rates markets using C# and C++. I deployed algorithms that improve efficiency, fills, and latency, and formulated mathematical and statistical models, backtested and analysed in Python, for the yield curves of US, UK, and Canadian bonds. I also built news/data based market movement capturing systems, with a 65% win rate in specific contracts. I graduated with a Master of Technology degree in Computer Science from Indraprastha Institute of Information Technology, Delhi in 2022, where I developed a strong foundation in theoretical computer science, artificial intelligence and quantitative finance.

Experience

Nx block trades pvt ltd

Quantitative Developer

Oct 2023 – Present · 2 yrs 5 mos · Noida, Uttar Pradesh, India · On-site

As a quantitative/algorithmic developer for Extramark's sister firm NX Block, I am responsible to create and deploy low latency algorithms/strategies which trade in Indian Equity Derivatives markets. Improvised existing in-house algorithms to run with minimal time-lag from exchange data, thereby helping to create better alphas for delta-neutral strategies (beating previous benchmarks by 16%). Other tasks include big-data quantitative analysis of market tick data, using statistical models and ML procedures. Improved order-matching latency time for the in-house Non Neat Front-End (NNF) platform. Major skills used are Python, Quantitative Analysis, Option Strategies etc.

PythonQuantitative AnalysisOption StrategiesBig Data AnalyticsAlgorithm Development

Futures first

Quantitative Developer

Jul 2022 – Sep 2023 · 1 yr 2 mos · Gurugram, Haryana, India · On-site

Implemented automated systems in C# and C++ which trade STIRs (Short Term Interest Rates Markets).
Responsible for coding, managing and deploying algorithms which improve efficiency, fills and latency. Formulated mathematical and statistical models and backtested historical data in Python for the yield curves of US, UK and Canadian bonds.
Built News/Data based market movement capturing systems, with 65% win rate in specific contracts.

C#C++PythonStatistical ModelsAutomated Trading SystemsAlgorithm Development+1