High Frequency Equity Trading team- Statistical Arbitrage Quantitative Analyst-NYC

Statistical Arbitrage, Quantitative Analyst, C++, High Frequency, Time Series, S+, MATLAB, Statistics, Mathematics, PhD, Finance. NYC based Investment Bank is looking to hire an experienced quantitative analyst for its High Frequency Equity Trading team.The role will involve the development of systematic trading strategies in the High Frequency space on a proprietary basis, statistically analysing time series data, managing and cleaning large datasets, the development and building of trading models and the continuous generation of ideas to maintain the group's market leading position. You will also interact heavily with the quant developers to ensure that automated trading technology is adapted optimally to best exploit the strategy. Requirements for the position include proven experience (2-4 years) working as a quant with an exceptional track record of performance in a statistical arbitrage trading group, giving you excellent exposure to high frequency finance and optimisation techniques. An excellent education -1st class Statistics/ Mathematics or similar followed by a strong Masters and PhD. Technically, you should have a good understanding of general programming concepts and be a diligent coder. You should be able to program in C++ and have extensive programming using one or more statistical or econometric packages ( e.g. S+, Gauss) . Attractive remuneration package is available for the suitable candidate. Please send a Word CV to Tina Kaul at quants.perm@ekafinance.com or call Tina on + 44 207 791 0468. Additional Information Location: NYC Status: Full Time, Employee Career Level: Experienced (Non-Manager) Reference Code: SA308 Job Category: Accounting/Finance/Insurance Salary/Wage: 250,000.00 - 400,000.00 USD /year+ additional benefits Relevant Work Experience: 2+ to 5 Years Education Level: Doctorate Contact: Tina Kaul eka finance Apply by Email Phone:+442077910468 View all "eka finance" jobs