Rahul Chanduka

Product Engineer

London, England, United Kingdom5 yrs 10 mos experience

Key Highlights

Expert in high-frequency trading and market-making strategies.
Proficient in developing tools for trader efficiency.
Strong background in quantitative finance and Python programming.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative trading and market-making.

Contact

Skills

Core Skills

TradingQuantitative Finance

Other Skills

Python (Programming Language)Project ManagementRisk AssessmentRC++CMatlabSelf Learning

About

Our team at APT Capital Ltd thrives on innovation in high-frequency trading (HFT), where I contribute to market-making strategies and manage risks for individual stocks. With a background in Electrical Engineering and Computer Science from IIT Bombay, my core competencies lie in trading, quantitative finance, and Python programming. My role encompasses developing tools that optimise trader efficiency and supervising market activities more effectively.

Experience

Apt capital ltd

Quantitative Trader

Nov 2022 – Aug 2024 · 1 yr 9 mos · London Area, United Kingdom

Market Making (Single Stock Options), managing individual stock and portfolio position exposure
Critical to enhancement and verification of global hft developments, particularly on the quoting side
Dev/Tech : POC for all tech upgrades. Spearheaded the development of tools for strategy configuration
changes, summarising trading statistics, trade debug, order booking, plotting, live position monitoring,
etc that together save over 1 hour of trader time daily, and help supervise more stocks simultaneously.
Analysis: Designed and managed projects to generate vol signals (mid/low frequency) passed on to
MM. Led projects to improve order entry in auctions, dividend pricing, event expectations, etc.

TradingQuantitative FinancePython (Programming Language)Project ManagementRisk Assessment

Apt research private limited

Quantitative Trader

Jun 2020 – Oct 2022 · 2 yrs 4 mos · New Delhi, Delhi, India

Part of a scrupulous 3-month training program in option pricing and trading, including dummy trading
Joined NSE Options desk. Towards the end was managing 3 stocks as well as NSE/BSE CD desk
Analysis: Primarily HFT; improved order modification protocols, Mass Cancel logic, delta signals, etc.
Collaborated with dev, infra, FPGA and data teams for deployment and verification of new ideas.

TradingQuantitative Finance

Worldquant

Quantitative Researcher (Macro to Micro)

May 2019 – Jul 2019 · 2 mos · Mumbai Area, India

Analysed interest rate sensitivity of bank fundamentals to create alphas(trading strategies). The features used include variants of ALM(Asset Liability Management), repricing delays, duration gap methodologies and the various interest rates. The coverage was limited to financials, and positions were updated daily based on the expectations of bank fundamentals computed using several regression models.

Data analysis and visualisation team, iit bombay

Head

Aug 2018 – May 2020 · 1 yr 9 mos

Working on thorough analysis of institute datasets.
Key Public Projects:-
Grading@IITB:- http://bit.ly/asciitbstats
Internships@IITB:- https://goo.gl/tgixmT
Professors@IITB:- https://goo.gl/uyCAK5
Apart from these, the team worked with student representatives and professor committees to assist in drawing inferences used for taking decisions on grading policies (during COVID-19), teaching awards, etc.

Maths and finance summer school (fast-sf)

Summer Fellowship | Chennai Mathematical Institute | Organised by CMI, IGIDR, ISI and IAS

May 2018 – Jun 2018 · 1 mo · Chennai

Wrote codes to implement Efficient Frontiers, Portfolio Optimisation, CAPM, Volatility Risk (GARCH), Value at Risk, Copulas and European Options in R programming language.
Executed an Event Analysis project trying to observe the impact of Brexit on Indian markets.
Explored Regressions, Distributions, Time Series, Martingales, Geometric Brownian Motion, Monte Carlo Markov Chains, Option Pricing Models and Stochastic Calculus (Discrete and Continuous time).

Auquan

In-Semester Internship

Feb 2018 – May 2018 · 3 mos · India

One of 7 (of all 2nd and 3rd year) students from IIT Bombay to be selected for a semester long program to learn Quantitative Trading Strategy Modelling by developing models in Python.
The program combined virtual training and assignments in developing alphas/trading models.
Worked on a Capstone Project and used the LSTM model to predict the direction of stock prices.

Linear algebra(ma-106), iit bombay

Teaching Assistant

Jan 2018 – Mar 2018 · 2 mos · IIT Bombay

Prof. anindya chakrabarty

Intern

Dec 2017 – Dec 2017 · 0 mo · IIM Ahmedabad

Developed a sequence of codes in MATLAB to study computational models of economic dynamics.
Validated time-series models, generated pseudo-random numbers, modeled dynamic systems in continuous and discrete time, discretised AR processes