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Quants/Financial Engineer with Relevant Experience of Analyzing and Writing Market Deployable Strategies

Industry Financial Services

Specialization Or Business Function Finance

Technical Function Analytics (Predictive Modeling, Data Mining, Trend Analysis, Real-time Analytics, In-Memory Analytics, Machine Learning, Time Series Analysis, Artificial Intelligence)

Technology & Tools

WORK IN PROGRESS

Project Description

We are looking for a Quants/Financial engineer with relevant experience of analyzing and writing strategies using tick by tick data of various Stock exchanges and come out with market deployable strategies.

Strategies which can be deployed sucessfully in HFT environment are Statistical Arbitrage ,Pairs, Index Basket and Predictive Analytics are few areas we are looking. 

Selected candidate will be using One Tick Software as a Tool for analyzing tick by tick data which has plugins for C++,Python,R and Matlab. The delivered Strategies should  be back tested on the One Tick software for the robustness and optimized and should pass the muster for profitability and risk.

Preference will be given to candidates with strong academic base, ability to interpret academic journal, strong data research capability, and apply theoritical concepts to real life scenarios.

In your proposal, please indicate how many hours you will require to compete this project. 

Project Overview

  • Posted
    December 14, 2015
  • Planned Start
    January 01, 2016
  • Delivery Date
    March 01, 2016
  • Preferred Location
    From anywhere

Client Overview


EXPERTISE REQUIRED

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