Manish Agarwal

CEO

Bengaluru, Karnataka, India19 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in low latency Java for real-time systems.
Led development of India's first Alexa experiences.
Extensive experience in electronic trading platforms.

Stackforce AI infers this person is a Fintech expert with a strong focus on low latency trading systems.

Contact

maagar@amazon.com +919890135689 LinkedIn

Skills

Other Skills

AlgorithmsCDSCore JavaDodd-FrankFIXFixed IncomeFpMLMultithreading

About

Experienced professional with product development experience on high volume, low latency, real time distributed systems using low latency Java. Extensive experience on Front Office electronic trading/OMS and real time ticking risk platforms. Strong engineering professional with a Bachelor of Technology (BTech) focused in Computer Science and Engineering from Indian Institute of Technology (Indian School of Mines), Dhanbad.

Experience

19 yrs 9 mos

Total Experience

4 yrs 3 mos

Average Tenure

7 yrs 8 mos

Current Experience

Amazon

Software Development Manager

Jun 2020 – Present · 5 yrs 10 mos

Crafting and building India first Alexa experiences!

Wells fargo

Vice President Capital Markets

Aug 2018 – Present · 7 yrs 8 mos · Bengaluru, Karnataka, India

Barclays capital

AVP

Mar 2012 – Aug 2018 · 6 yrs 5 mos

Strategic electronic trading platform for fixed income and credit derivative providing Request for quotes (RFQ), order submission and execution functionalities with support for high volume, low latency, real-time position keeping and straight-through-processing.
Development lead D2C and D2D flows for various venues. Implemented LMAX disruptor and uses Rules Engine capabilities for providing low latency communication and processing.

Royal bank of scotland, india

Fixed Income eTrading Associate

Aug 2010 – Mar 2012 · 1 yr 7 mos

The platform is an electronic system for trading of Fixed Income securities like Bonds, Swaps etc. It facilitates trading for different product groups based on currency & products.