Sourabh Halleppanavar

Business Analyst

Mumbai, Maharashtra, India6 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

CFA Level 3 cleared, showcasing commitment to finance.
Strong expertise in Full stack web development and AI&ML.
Experience in financial analysis and risk management.

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

Contact

Skills

Other Skills

Artificial Intelligence (AI)Artificial Neural NetworksComputer VisionData AnalysisDjangoFinancial ModelingFinancial RiskGolangMachine LearningMicrosoft OfficeMongoDBMongoose ODMNode.jsRisk Management

About

I find finance fascinating and love to learn more about finance, and believe that I can contribute towards the value addition of the team I will be working with. This propels me to learn more about the financial world through the CFA program (CFA Level 3 cleared). I firmly believe that Technology contributes significantly to the value addition and have a very strong hold on technology, with a skillset in Full stack web development, AI&ML and Decentralized finance in the Web3.0 space. Needless to say, as I have worked with these technologies, I am exceptionally good with Python, Java Script, and to some amount, with Go.

Experience

Qube research & technologies

Quantitative Analyst

Jan 2025 – Present · 1 yr 2 mos · Mumbai, Maharashtra, India · On-site

Worldquant

Senior user success specialist

Nov 2022 – Jan 2025 · 2 yrs 2 mos · Mumbai, Maharashtra, India

Credit suisse

ENO - Program trading desk, Delta One

Nov 2021 – Nov 2022 · 1 yr · Mumbai, Maharashtra, India

Hsbc

Financial Analyst

Sep 2019 – Nov 2021 · 2 yrs 2 mos · Bangalore

My responsibilities are reporting stress test results to senior management. My role in the team covers Market Risk & Counter party Credit Risk on Trading Book and OTC derivative products. I also work on Process automation, and building better UIs for more intuitive analysis on the Market risk side.

Quantiphi

Data Science Intern

Jun 2018 – Dec 2018 · 6 mos · Mumbai Metropolitan Region

During my tenure for Quantiphi, I worked on the below:
1. An automation framework, based on Keras, to use the best suited model andtuned hyperparametes for a given image data.
2. Used Transfer learning to sort the given characters into the Age and Gender buckets, As a feature for Viewership analysis
3. Used DLib for object tracking across the Shot.

Worldquant

2 roles

Quantitative research consultant

Jun 2017 – Aug 2019 · 2 yrs 2 mos

Worked on developing different Trading and investment strategies, or alphas. Built Alphas based on Price volume, as well as based on Fundamental and alternative datasets.

Research Intern

May 2017 – Jun 2017 · 1 mo

As an intern at WorldQuant, I was exposed to different techniques for building alphas and to test them further for their resilience against over fitting. During a month's term as an intern, built 90+ alphas.