Satyendra Pandey

Product Manager

Hyderabad, Telangana, India4 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expertise in quantitative finance and statistical research.
Proven track record in machine learning and AI projects.
Strong leadership experience in academic and professional settings.

Stackforce AI infers this person is a Fintech professional with strong capabilities in quantitative analysis and machine learning.

Contact

Skills

Core Skills

Quantitative FinanceStatistical ResearchMachine LearningStatistical MethodsAiFault DetectionResearch SkillsLeadershipCommunicationData ScienceRecommendation SystemsNlpChatbot Development

Other Skills

Analytical SkillsArtificial Intelligence (AI)Build Strong RelationshipsBusiness ValuationC (Programming Language)C++DCF ValuationData AnalysisData ExtractionDeep LearningDerivatives TradingEquityEquity ValuationFinanceK-Nearest Neighbours

About

Hi, I am a Quant at Wells Fargo currently, graduated with a Integrated Bachelors and Masters from IIT Madras in Data Science. I like mathematics especially stochastic calculus, probability and statistics. I am exploring Quantitative Finance currently. My Master's Thesis was on detecting Front Running in Trading for exchanges. I have previously worked in Data Science (towards Research side) and also served as my university's International & Alumni Relations Secretary. I am generally curious about how different things in the world functions and like writing poems and jokes. I also like travelling to non-tourist places. Currently I am trying to learn how different products are priced in the financial markets and also to play guitar.

Experience

Wells fargo

Quantitative Analyst

Jul 2024 – Present · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

Working on Fx products

Python (Programming Language)Statistical ResearchQuantitative ResearchStochastic CalculusStatisticsTime Series+2

Wadhwani school of data science and ai, iit madras

Master Thesis Student

Jul 2023 – Jul 2024 · 1 yr · Chennai, Tamil Nadu, India

Guide - Prof. Nandan Sudarsanam
Title of project - Detection of Front Running in Trading in exchanges using Statistical Methods & Machine Learning
Built a dual-framework to detect front-running in exchange, using statistical algorithm with machine learning pipeline
Developed statistical model to generate suspicion probability score using past order book data with ~76% accuracy
Implemented ML pipeline & enhanced detection to ~96% using LightGBM with statistical scores & engineered features
Optimized the algorithm with parallel processing, cutting runtime by 70% on large datasets for the scalability of use

Machine LearningStatistical Methods

Nanyang technological university singapore

Visiting Researcher

May 2023 – Sep 2023 · 4 mos · Singapore · On-site

Guide - Prof. See Kye Yak
Developed an AI-enabled fault detection solution for 241 km of Singapore’s Metro Rail Train tracks.
Implemented an ensemble method combining K-Nearest Neighbours and statistical modeling for fault detection.
Conducted standard deviation analysis, revealing a 42% higher track health in the West Run compared to the East Run.

Research SkillsTensorFlowAIFault Detection

Goldman sachs

Summer Analyst

May 2022 – Jul 2022 · 2 mos · Bangalore Urban, Karnataka, India · On-site

Part of the Prime Brokerage Strat team, focusing on brokerage and clearing business across regions.
Analyzed volatility in European, California, and RGGI carbon markets through various products.
Calibrated stress levels for carbon, metals, and coal commodities using Principal Component Analysis.
Enhanced model accuracy by restructuring internal carbon product groupings, leading to improved calibration.
[Was Offered PPO as well]
(people here are nice and talking with them taught me a lot)

Indian institute of technology, madras

International & Alumni Relations Secretary

Apr 2022 – May 2023 · 1 yr 1 mo · Chennai, Tamil Nadu, India

Elected by 10000+ students as Institute Representative to Alumni and International affairs of IIT Madras.
This was my best time in college, election is a practical game theory simulation with human participants.

Build Strong RelationshipsSpreadsheetsLeadershipCommunication

Tech mahindra

Data Analyst Intern

Dec 2021 – Jan 2022 · 1 mo

Sony research india

Data Science Intern

Jul 2021 – Apr 2022 · 9 mos

Part of Sony-Liv’s (OTT Platform of Sony) data science engineering research & development team
Created automated tools to extract data from Twitter, Wikipedia, and Reddit for training the model
Optimized API response efficiency with input testing scripts, cutting response time by over 40%
Crafted a prototype HRNN8-based recommendation system, enhancing engagement time by 11%

TensorFlowData ScienceRecommendation Systems