Sri Sahithi S.

Product Manager

Bengaluru, Karnataka, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Strong foundation in quantitative finance and machine learning.
  • Experience in developing algorithmic trading strategies.
  • Active contributor to finance and entrepreneurship initiatives.
Stackforce AI infers this person is a Fintech professional with a focus on quantitative research and algorithmic trading.

Contact

Skills

Core Skills

Quantitative FinanceFintechQuantitative ResearchStart-up LeadershipProduct StrategyEntrepreneurshipFinanceCryptocurrency TradingEvent Management

Other Skills

API integrationAlgorithm DevelopmentApplication Programming Interfaces (API)Artificial Intelligence (AI)C++Cascading Style Sheets (CSS)ChessCommunity OrganizingComputer NetworkingComputer VisionConvolutional Neural Networks (CNN)Cross-functional Team LeadershipCryptocurrencyData AnalysisData Manipulation

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Bocconi students quantitative finance

Collaborator

Oct 2025Present · 8 mos

  • Collaborating with Bocconi University’s Quantitative Finance section (BSQF) on research-focused projects and events centered around financial modeling, data analysis, and quantitative methods.
Quantitative FinancePython (Programming Language)FinTechMarket Analysis

Worldquant

Research Consultant

Sep 2025Present · 9 mos

Quantitative ResearchQuantitative Analytics

Cosmoquant

EdTech Platform

Apr 2025Present · 1 yr 2 mos · India

  • At CosmoQuant, I’m building a platform where finance meets community—where professionals and enthusiasts come together to learn, share, and collaborate on everything money.
  • We created CosmoQuant to solve a common problem: finance often feels isolating, overly technical, or inaccessible. Our solution? A dynamic, content-driven community where professionals write insightful blogs, learners engage in meaningful discussions, and members team up on real-world financial projects.
  • I lead the product vision, platform development, and community growth—while staying relentlessly focused on delivering a space that’s both smart and social. We’re not just talking about finance—we’re changing how people connect through it.
  • 🌐 Explore the platform: www.cosmoquant.in
  • 📬 Get in touch: contact@cosmoquant.in
Start-up LeadershipFinTechProduct StrategyCommunity Organizing

E-cell, iit mandi

Core Team Member

Feb 2025Present · 1 yr 4 mos · Mandi, Himachal Pradesh, India

  • ◦ Alumni Outreach: Facilitating connections with successful alumni to support events, mentorship, and
  • collaborative initiatives for entrepreneurial growth.
  • ◦ Event Coordination: Organizing workshops and events to promote finance and entrepreneurship, Finance and Product Management among students.
  • ◦ Community Engagement: Collaborating with peers to foster a culture of innovation and enthusiasm about Finance.
FinanceEntrepreneurshipFinancial MarketsManagement

Untrade

Participant - Team QCELL

Jan 2025Apr 2025 · 3 mos · Remote

  • The Architect - Pan IIT Quantitative Finance Hackathon
  • Algorithm Development: Developing strategies to maximize alpha in cryptocurrency markets, focusing on Bitcoin and Ethereum. Market Analysis: Analyzing market trends to inform algorithmic trading decisions.
  • ◦ Alpha Strategy Development: Designing and backtesting a directional long-only BTC strategy (2019–2023)
  • using 1x leverage; executing 39 trades with a 51.28% win rate and focusing on market timing to maximize alpha.
  • ◦ Performance Metrics: Achieving a net profit of $2,111.65 on $1,000 initial capital, reaching a final balance of
  • $4,810.27 (381.03% return), outperforming the BTC benchmark return of 329.13%.
  • ◦ Risk & Execution Profile: Maintaining a Sharpe Ratio of 5.81 and Sortino Ratio of 20.55; with average holding
  • time of 14 days and maximum of 44 days. Largest win: $762.81; largest loss: -$151.46.
  • ◦ Execution Efficiency & Trade Quality: Delivering an average profit of $54.14/trade; actively monitoring
  • market conditions to manage adverse excursions (Avg MAE: 5.65%) and recovery time (Avg TTR: 62.8 days).
Quantitative FinanceCryptocurrency TradingFinancial MarketsMarket Analysis

Miraz , iit mandi

Event Manager

Mar 2024Apr 2024 · 1 mo · Mandi, Himachal Pradesh, India · On-site

  • Volunteered as Event Management POC for activities conducted by Literary Club (UhlLekh) , IIT Mandi
Event ManagementLeadershipCross-functional Team LeadershipEvent Planning

Education

Indian Institute of Technology, Mandi

Bachelor of Technology - BTech — Maths and Computing

Jul 2023Jul 2027

Sri Chaitanya Techno School, Bangalore

High School Diploma

Jun 2019Mar 2023

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