Rahul Kumar Mandal

Co-Founder

New York, New York, United States9 yrs 1 mo experience

Key Highlights

  • Ranked 36 in National Mathematics Olympiad.
  • Designed Alphas for top 2000 NASDAQ equities.
  • Built a causal research algorithm improving prediction accuracy.
Stackforce AI infers this person is a Quantitative Finance expert with extensive experience in Strategy Consulting and Product Management.

Contact

Skills

Core Skills

Portfolio ManagementApplied StatisticsQuantitative ResearchEquity TradingProduct ManagementGo-to-market StrategyStrategy ConsultingCausal AnalysisLegal TechnologyOperations ManagementBusiness DevelopmentProject Management

Other Skills

AlgorithmsAlpha GenerationApplied ChemistryApplied MathematicsAutoregressive ModelsBlack-ScholesBusiness ResearchCalculusCausal ResearchCommodity MarketsConsultingConsumer ComplaintConsumer complaintContract ManagementContract Negotiation

About

Quantitative results: ● Ranked 36 in the National Mathematics Olympiad ● Sectional topper in Chemistry in IIT JEE (one of the world's toughest engineering entrance exams) ● National Qualifier in the Global Quant. challenge - Alphathon which led me secure an offer from WorldQuant. Here I have designed Alphas for the top 2000 NASDAQ equities and achieved results such as sharpness of 3.06, fitness 1.34 and returns/drawdown ratio of 3.09 ● Built a causal research algorithm that identifies and ranks confounding variables. This algorithm acts as a precursor to any prediction or classification or neural network model to enhance the subsequent predictions. Results obtained : The same has been successfully implemented by me at a Big 4 over a Random Forest classifier (improved accuracy by 1000) as well as recently over OLS and Facebook's famous prophet model (reduced the error factors by > 67%) Quant. experiences: ● Macro Research / Geo political risk (from an exclusive background in International Economics and International Trade from IIFT Delhi - India's most premier trade B school) Relevant work: One of my most comprehensive research till date is for Bridgewater Associates Forecasting challenging to model modern mercantilistic behaviour of global economies ● Equity derivative (vol) models (from a brief stint at WorldQuant & elective during Master's in Quant) Relevant work: Built Equity Alphas (with one SuperAlpha for USA NASDAQ markets with sharpness 4.38, fitness of 6.13, RoMaD of 11.08) ● Fixed income (from electives during Master's) Relevant work: Incorporated certain fixed income concepts as part of my overall Macro research for Bridgewater Associates forecasting challenge Overall background: Apart from Quantitative Research, I have also worked in Strategy Consulting & Product Management roles with a cumulative experience of about 9+ years across 7 different industries : Hedge Fund/Quant Trading, Consulting - Retail, Automotive, Internet product, Manufacturing & IT in eclectic roles. Product Management: ● ETark Social : An Instant messaging app that delivers "Full Spam Control" & data democratisation ● ETark : An Instant consumer complaint analysis tool ● LAO : An Intra-city food delivery startup successfully ran and sold to a Hotel chain Strategy Consulting : ● Corporate Strategy ● Go-To-Market Strategy ● Pricing Strategy ● Turn-around Management ● Digital Transformation ● Mergers & Acquisitions

Experience

9 yrs 1 mo
Total Experience
1 yr 9 mos
Average Tenure
--
Current Experience

Nyu courant institute of mathematical sciences

Mathematics Grader

Jan 2025May 2025 · 4 mos · Manhattan, New York, United States · On-site

  • Grading undergraduate coursework for the Mathematics in Finance program, Department of Mathematics
Python (Programming Language)Interest RatesPortfolio ManagementApplied statisticsRisk ModellingDynamic Programming+4

Worldquant

Brain User

May 2024Nov 2024 · 6 mos · Remote

  • Building quantitative strategies for China and USA equity markets
Python (Programming Language)EquitiesDerivativesMarkov ChainsEquity TradingQuantitative Research+5

Etark social

Founder

Apr 2023Oct 2024 · 1 yr 6 mos · Kolkata, West Bengal, India · On-site

  • ● Launched world’s 1st messaging app with Full spam control pan India built on the
  • dual tenets of saving time per chat & full democratization of data
  • ● Implemented an organic GTM strategy for the same by building segment specific use
  • cases at zero CAC.
  • ● Liaised with organizations from multiple industries such Retail chain majors, Real
  • Estate, Education services and Financial securities with pilots run
Python (Programming Language)R (Programming Language)ConsultingGo-to-Market StrategyCausal AnalysisStrategy Consulting+17

Ey

Senior Consultant

Nov 2021Apr 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

  • ● Conducted process discovery for a global Retailer as part of their post Deal M&A
  • Integration activities and implemented an organic GTM strategy for 15 of their retail
  • stores in parts of Europe which generated about 100k unique user visits in 2 months.
  • ● Built a risk management model for the business of a global Automobile manufacturer
  • to help them improve payment receivables based on advanced statistical techniques on
  • causality which generated a drop in payment defaults by 42% in a quarter.
  • ● Partnered with Business, Product, and Engineering to build customer-centric solutions
  • ● Helped set up the product management division at EY India by preparing
  • frameworks & evaluating Product managers, Developers, Data scientists & UX designers
Python (Programming Language)Mergers & Acquisitions (M&A)Corporate FinanceConsultingGo-to-Market StrategyTurn Around Management+13

Etark (a microsoft partnered venture)

Head of Product & Business

Apr 2020Nov 2021 · 1 yr 7 mos · Kolkata, West Bengal, India · On-site

  • ● Built a system based on Algorithmic Law which enables a user to get consumer
  • complaints analysed in less than 1min. Set up a pipeline for Legal Engineering to autodidact
  • ● Set up network of alliances with companies from different industries
  • ● Set up a precision marketing marketplace that works on user’s habits
  • ● Optimized digital marketing & App performance to maintain 69% Active user ratio &
  • User Stickiness (DAU/MAU) of more than 30%
  • ● Helped ETark partner with Microsoft and invite interest from others
  • ● Designed GTM by facilitating free consultation by Consumer Advocates pan India on
  • ETark which led to user growth of 10% at zero cost of acquisition through word of
  • the mouth and increased user engagement by 44%.
Python (Programming Language)Legal TechnologyQuantitative InvestingGo-to-Market StrategyTurn Around ManagementConsumer complaint+12

Worldquant

Quantitative Researcher

Apr 2019Oct 2019 · 6 mos · New Delhi, Delhi, India · On-site

  • ● Built financial alphas to predict top 2000 NASDAQ equity behavior which have achieved results
  • such as sharpness of 3.06, fitness 1.34 and returns/drawdown ratio of 3.09
  • ● Some of the strategies used by me include Statistical Arbitrage, Markov chain modelling, Martingale risk allocation, mix. of fundamental, technical and social media analysis on top of mean reversion base and using Options modelling to back estimate the value of the underlying
Python (Programming Language)R (Programming Language)Quantitative InvestingPortfolio ManagementCausal AnalysisAlgorithms+11

Steel authority of india limited

Operations, Planning, Business Development Manager

Jan 2015Jun 2018 · 3 yrs 5 mos · Durgapur, West Bengal, India · On-site

  • ● One of the 35 (general category candidates) to get selected into Steel Authority of India from a total applicant pool of 270,000 (selection rate .01%)
  • ● Generated an additional revenue to the tune of Rs.1.8 Crore by optimizing
  • the operational expenses that increased production levels by 30%
  • ● Led a team of 25 to set a record production of 2520 tons steel in an 8 hour shift.
  • ● Formed Business contracts with clients, mainly sister integrated plants of SAIL
  • ● Allocating Budget by coordinating with various business departments.
  • ● Served as a Dispatcher & Furnace In-Charge to plan entire Steel Making Shop’s logistics
Supply Chain OptimizationTurn Around ManagementSteel MakingOperations ManagementBusiness DevelopmentContract Management+1

Ibm

Software Developer

Sep 2013Nov 2014 · 1 yr 2 mos · Kolkata, West Bengal, India · On-site

  • ● Software Debugging
  • ● Server Maintenance
  • ● Developing new functions
Python (Programming Language)Project Management

Education

NYU Courant Institute School of Mathematics, Computing, and Data Science

Master's degree — Financial Mathematics

Sep 2024Dec 2025

Indian Institute of Foreign Trade

Master of Business Administration - MBA

Jun 2018Feb 2020

Indian Institute of Engineering Science and Technology (IIEST), Shibpur

Bachelor of Engineering - BE — Metallurgy & Materials Engineering

May 2009Apr 2013

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