V

Vivek Kusumanchi

Business Analyst

Mumbai, Maharashtra, India4 yrs 8 mos experience

Key Highlights

  • Expert in quantitative financial modeling and liquidity management.
  • Proficient in full-stack development with a focus on financial applications.
  • Strong foundation in machine learning and algorithm development.
Stackforce AI infers this person is a Fintech professional with strong quantitative and development skills.

Contact

Skills

Core Skills

Back-end Web DevelopmentFull-stack Development

Other Skills

Artificial Neural NetworksComputer VisionDeep LearningDerivativesEnglishMachine LearningOptionsPlotly-DashPythonRasaSoftware Development

Experience

Millennium

Treasury Quant

Jun 2025Present · 9 mos · Bengaluru, Karnataka, India

Bnp paribas cib

Quantitative Researcher

Apr 2024Jun 2025 · 1 yr 2 mos · Mumbai, Maharashtra, India

  • Part of the Inventory Management QR team for the Prime Brokerage business

Goldman sachs

2 roles

Quantitative Strategist

Jul 2021Apr 2024 · 2 yrs 9 mos · Bengaluru, Karnataka, India

  • Member of Liquidity Management Strats team of the Corporate Treasury divison. Have experience in building quantitative financial models which help monitor and optimize the firm's liquidity.

Summer Intern

May 2020Jun 2020 · 1 mo · Bengaluru, Karnataka, India

  • Built a Scenario Analysis tool using Python for the back-end and a Python framework called Plotly-Dash for the front end, which shows a consolidated view of different high level metrics in Corporate Treasury.
  • The tool displays sensitivity of different metrics to levers in Treasury.
PythonPlotly-DashBack-End Web Development

Kapwise

Full Stack Developer Intern

Dec 2019Jan 2020 · 1 mo · Delhi, India

  • Developed a financial chatbot using a framework called as Rasa.
  • Developed a dashboard to be integrated with their website, which gives a financial plan for achieveing the required goals.
RasaFull-Stack Development

Defence research and development organisation (drdo)

Machine Learning Intern

May 2019Jun 2019 · 1 mo · Hyderabad Area, India

  • Developed an Algorithm for detecting whether an Access Point is Rogue or original.
  • Used a hard to spoof metric, Recieved Signal Strength and trained them using Machine Learning algorithms.
  • For increasing the accuracy double checked the AP by training and testing the Round Trip Time(RTT) samples by a simple SVM Classifier.

Education

Indian Institute of Technology, Kharagpur

Bachelor's degree — Computer Science

Jan 2017Jan 2021

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