Yogesh Sharma

Associate Consultant

Hyderabad, Telangana, India9 yrs 10 mos experience

Highly Stable

Key Highlights

6+ years of experience in quantitative research.
Awarded for best AI use in financial services.
Expert in process automation and data analysis.

Stackforce AI infers this person is a Fintech professional with strong quantitative research and automation skills.

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Skills

Core Skills

Quantitative ResearchAutomationData AnalysisMachine Learning

Other Skills

APIsAUM reconciliationAerospaceAfter EffectsAlpha GenerationAlpha generationAsset ManagementBack-tester for Long-Short StrategiesBacktestingBeta HedgeBloombergCommunicationContent based Learning modelCorporate ActionsCountry Classification

About

I have been automating process flows, building models and dashboards for Big Banks such as JP Morgan & Chase, HSBC, as part of my role as a Quantitative Researcher for 6+ years. Hands on experience with Full-stack Automation, Database Management, Back-end model, Front-end Dashboard, Research & Analysis. Optimization appeals to me. I like to workout simple solutions to challenging problems, get rid of redundancies, make process-flows more efficient and play my part in making things better. Skillset- Python, MySQL, Bloomberg, Factset APIs, AWS, Kdb+, Excel, HTML, Django, MongoDB, CSS, JS, with acquired knowledge in Finance- Asset Management, Equity Indices, Macro-Research, Factor Analysis, Trading Strategies, Projection Models Awards- JP Morgan's FStech award 2023 for “Best use of Artificial Intelligence in Financial Services” HSBC, Star Performer Award Q2’2018 I'm a solid team player, helpful, caring, inclusive, accommodative a natural leader. Looking for interesting opportunities, happy to move across locations or industries. Quick-learner; unafraid to unlearn and start from scratch

Experience

Jpmorgan chase & co.

Associate

Aug 2019 – May 2023 · 3 yrs 9 mos · Mumbai Area, India · On-site

Hsbc global banking and markets

2 roles

Associate

Promoted

Mar 2019 – Aug 2019 · 5 mos

Quantitative Index Strategies-
Price Indices: FTSE, MSCI, STOXX, S&P, Euronext Series, Hang Seng Series, TAIEX, others
Strategy: Delta-One Thematic Trading, Custom Stock Baskets, Systematic Index-Rebalance Trading Model, Performance Analysis, Historical Color, Alpha generation, Beta Hedge
Models: Rebalance Projection, Index Review Flow Estimation, AUM reconciliation, Country Classification, Methodology Changes, Corporate Actions, Deals, M&A, IPOs
Infrastructure Build: Utility tools for data processing, data extraction wrappers for Bloomberg,-Python-Kdb, Eikon-Python/kdb, Web scrappers, Dashboards (Django, MongoDB, HTML, JS, Data-Watch), Back-tester for Long-Short Strategies

Quantitative Index StrategiesDelta-One Thematic TradingCustom Stock BasketsSystematic Index-Rebalance Trading ModelPerformance AnalysisHistorical Color+25

Analyst

Jun 2017 – Mar 2019 · 1 yr 9 mos

Grex alternative investments market pvt. ltd.

Data Analyst Intern

Apr 2016 – Jul 2016 · 3 mos

Developed a ‘Loan Probability Index’ for Business-loan application to predict chances of attaining debt-capital
Employed back-propagation Neural Network and Content based Learning model along with sensitivity analysis algorithm
Impact: Augmented quality data capture, enhanced ‘Business Loan Application’ and recommendation system algorithms
Learning: Neural networks, supervised and unsupervised ML, RDMS (MySQL), Credit Analysis, Fin-Stats tools

Neural NetworksContent based Learning modelSensitivity analysis algorithmCredit AnalysisFin-Stats toolsData Analysis+1