Akash Waghela

VP of Engineering

Greater London, England, United Kingdom8 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Credit Trading and Portfolio Management.
  • Strong background in Algorithmic Trading and Applied Mathematics.
  • Proven experience in developing data-driven applications.
Stackforce AI infers this person is a Fintech professional specializing in Credit Trading and Algorithmic Solutions.

Contact

Skills

Core Skills

Software DevelopmentData Science

Other Skills

Algorithmic TradingApplied MathematicsAzure API'sBayesian statisticsBond MarketsBond PricingCompetitive ProgrammingCorporate BondsCredit TradingData AnalysisData StructuresKDBMachine LearningMachine Learning AlgorithmsMortgage-Backed Security (MBS)

About

Credit ETF & Portfolio Trader EUR Corporate Bond Trader Systematic Credit (Bond Algo's)

Experience

Goldman sachs

VP

Jun 2021Present · 4 yrs 9 mos · London Area, United Kingdom

  • EM Credit Trading

Deutsche bank

Associate

Jul 2020May 2021 · 10 mos · London, England, United Kingdom

  • Global Credit Trading

Morgan stanley

Associate

Jul 2017Jun 2020 · 2 yrs 11 mos · London, United Kingdom

  • EMEA Credit Trading Strat

Microsoft

Summer Intern - Software Developer

May 2016Jun 2016 · 1 mo · Hyderabad Area, India

  • Built a console based recommendation application using several Azure API's to provide cost effective suggestions to users based on their resource utilization.
Azure API'sRecommendation ApplicationSoftware Development

Altisource labs

Summer Intern - Developer

May 2015Jun 2015 · 1 mo · Bengaluru Area, India

  • Streamlined meta data from a beverage company and studied results of various Machine Learning Algorithms aimed at optimizing product distribution and placement.
Machine Learning AlgorithmsData AnalysisData Science

Education

Indian Institute of Technology, Kanpur

Bachelor's Degree — Computer Science

Jan 2013Jan 2017

Emmanuel Mission School

CBSE

Jan 2011Jan 2013

Choithram School, Indore

CBSE

Jan 2009Jan 2011

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