A

Arun Jayaprakash

CEO

Singapore, Singapore20 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in low latency trading systems development.
  • Proven track record in financial trading protocols.
  • Strong background in C++ and Python for trading applications.
Stackforce AI infers this person is a Fintech expert specializing in low latency trading systems and financial technology.

Contact

Skills

Core Skills

Trading SystemsLow LatencyLow Latency Development

Other Skills

C++FIXFinancial Trading ProtocolsMarket Data ProtocolsLinuxC#PythonMongoDBBoost librariesIntel TBBQuickfixExcel integrationx86 AssemblyExchange ConnectivityEurex

About

Specialties: C++, FIX, Financial Trading Protocols, Market Data Protocols, Low Latency Development, Linux, C#, Front Office Trading GUIs

Experience

20 yrs 8 mos
Total Experience
3 yrs 5 mos
Average Tenure
9 yrs 10 mos
Current Experience

Alphagrep securities

Vice President - Trading Systems

Aug 2016Present · 9 yrs 10 mos · Singapore

C++FIXFinancial Trading ProtocolsMarket Data ProtocolsLow Latency DevelopmentLinux+3

Drw

Senior Software Engineer

Nov 2015May 2016 · 6 mos · Singapore

Tower research capital

Infrastructure Developer

May 2014Nov 2015 · 1 yr 6 mos · Singapore

Standard chartered bank

Senior Software Engineer

Oct 2012Apr 2014 · 1 yr 6 mos · Singapore

Jebel tariq trading dmcc

Developer, High Frequency Trading Systems

May 2006Nov 2012 · 6 yrs 6 mos · Dubai, UAE

  • Built low latency direct market access engines for ICE (FIX), CME (iLink, FastFix via OnixS), DGCX (FIX), MCX (CTCL), Eurex (ETS, EBS vis OnixS), MCXSX (FIX/CTCL), NSE (NNF), HKMex (Cinnober EMAPI), Currenex (FIX), PATS (FIX and PROP)(third party routing to various exchanges), BSE (BOLT OMB)
  • Developed code generators in Python/C++ for automatically creating/modifying efficient message parse/encode layers directly from exchange-provided interface description files.
  • Designed and implemented a multi-client multi-venue trading and market data server
  • Written in portable c++ making use of several Boost libraries (Asio,Thread), Intel TBB, Quickfix
  • inline low latency pre-trade risk management based on initial, maintenance margin and realtime mark-to-market.
  • Implemented a flexible instrument database supporting a wide range of instrument definition shapes in MongoDB
  • System prevalence for minimal runtime latency and fast crash recovery.
  • Efficient data distribution using multicast channels on local subnet and subscription based TCP data system for remote clients.
  • Support for directly hard-coding c++ strategies into the server forming a monolithic colocated blackbox for low latency work.
  • Built GUI Trading Frontend in C#
  • Uses a rich MDI for clean display of algorithm, order,trade and risk status
  • Support for hard coded client based strategies requiring extensive trader intervention
  • Excel integration using RTD and DDE for data export as well as algorithm definition for rapid prototyping.
  • Client Server communication via an efficient binary protocol.
C++PythonMongoDBC#Boost librariesIntel TBB+3

Cdls consulting

Trader, Trainee

May 2005Apr 2006 · 11 mos · Pune, India

  • Traded Futures and Calendar Spreads on Euribor (Liffe) and Eurodollars (CME) ; Soft arbitrage opportunities based on statistically mean reverting structures in short/medium term yield curve.

Education

Indian Institute of Technology, Bombay

Bachelor of Technology — Engineering Physics

Jan 2001Jan 2005

Kendriya Vidyalaya

Stackforce found 100+ more professionals with Trading Systems & Low Latency

Explore similar profiles based on matching skills and experience