Anoopam Agarwal

Product Engineer

Delhi, India11 yrs experience
Highly Stable

Key Highlights

  • Expert in quantitative finance and risk management.
  • Proven track record in developing machine learning models.
  • Strong background in portfolio management and trading strategies.
Stackforce AI infers this person is a Fintech expert with a strong focus on quantitative analysis and machine learning.

Contact

anoopamagarwal@gmail.com+91-9910274411LinkedIn

Skills

Core Skills

Machine LearningPortfolio ManagementRisk ManagementStatistical ModelingAlgorithms

Other Skills

AnalyticsAsset ManagementBarra Portfolio ManagerBig DataCC++CondorData MiningDistributed SystemsFinancial RiskHadoopLinuxLogistic RegressionMathematical ModelingMatlab

Experience

Qi-cap

Senior Quantitative Trader

Feb 2021 – Mar 2025 · 4 yrs 1 mo · New Delhi, Delhi, India

A.p.t. portfolio private limited

Senior Quantitative Trader

Feb 2018 – Feb 2021 · 3 yrs · Greater Delhi Area

Tower research capital

Trader

Oct 2015 – Aug 2017 · 1 yr 10 mos · Gurgaon, India

System two advisors, lp

Quantitative Research Analyst

Feb 2014 – Oct 2015 · 1 yr 8 mos · Mumbai Metropolitan Region

  • Developed trading signals, portfolio management and client reporting framework for long term asset management. Designed machine learning based risk allocation methodology for long only equity ETF generated significant active returns with low volatility and beta to benchmark. Developed performance evaluation, style detection and cross sectional analysis infrastructure for trading signals
Machine LearningPortfolio ManagementRisk ManagementStatistical ModelingAlgorithms

American express

Business Analyst

Sep 2013 – Feb 2014 · 5 mos · Gurugram, Haryana, India

  • Credit Risk Management for International Consumer Card and Small Business Services portfolio.

Aspiring investments

Software Engineering Intern

May 2011 – Jul 2011 · 2 mos · Greater Delhi Area

  • Developed financial application suite for post PC devices on HP's webOS and Apple iOS

Inria, lsv, ens cachan

Research Intern

May 2010 – Jul 2010 · 2 mos · Greater Paris Metropolitan Region

  • Formalized theoretical setting required to understand fault diagnosis phenomenon, and suggested algorithms for verification.

Education

Indian Institute of Technology, Delhi

Integrated M.Tech — Mathematics and Computing

Jan 2008 – Jan 2013

DAV Public School, Dayanand Vihar, Delhi

Senior secondary certificate

Jan 2006 – Jan 2008

MES Indian School, Doha, Qatar

Matriculation

Jan 1994 – Jan 2006

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