S

Siddhant Dangi

Researcher

Kanpur Nagar, Uttar Pradesh, India1 yr 6 mos experience

Key Highlights

  • Developed predictive methodology for S&P indices with 90% accuracy.
  • Designed profit and loss platform for USD 900bn holdings.
  • Reduced Exposure at Default by identifying option trades worth over USD 10bn.
Stackforce AI infers this person is a Fintech professional with strong expertise in risk management and data analysis.

Contact

Skills

Core Skills

Risk ManagementData Analysis

Other Skills

Client AnalyticsCollateral and Stock LoanInvestment BankingTradingC++Microsoft OfficeCMicrosoft ExcelMicrosoft PowerPointHTMLResearchProgrammingTeamworkAdobe PhotoshopMatlab

Experience

1 yr 6 mos
Total Experience
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Average Tenure
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Current Experience

University of cambridge

Researcher

Nov 2016Jun 2018 · 1 yr 7 mos · Cambridge, England, United Kingdom

Credit suisse

Business Analyst

May 2016Jul 2016 · 2 mos · Mumbai Metropolitan Region

  • Worked on 12 projects with Risk Management, Delta One, Client Analytics, Collateral and Stock Loan teams
  • Created a methodology for predicting adds & deletes in S&P Composite 1500 Indices with 90% accuracy
  • Devised outlook on clients based on historical profitability and current relationships to minimize balance sheet
  • Generated 3 style factors of MSCI Barra US Equity Model in-house, currently subscribed at USD 400K annually
  • Designed and implemented profit and loss platform to manage daily risk on holdings valued at over USD 900bn
  • Reduced Exposure at Default by identifying fully and partially covered option trades worth more than USD 10bn
  • Aided the shifting of trade positions worth over USD 500bn from London to Dublin balance sheets
Risk ManagementClient AnalyticsCollateral and Stock LoanData AnalysisInvestment BankingTrading

Education

Indian Institute of Technology, Kanpur

Bachelor’s Degree — Electrical Engineering

Jan 2013Jan 2017

Children Senior Secondary School, Kota

AISSCE

Jan 2011Jan 2013

Delhi Public School, Korba

High School

Jan 1999Jan 2011

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