Quantitative PhD Candidate for Algorithmic Trading Team

Quantitative PhD, Quantitative Analyst, Algorithmic Team, High Frequency Quant Strategies A leading US Investment Bank is looking to add a PhD candidate to their algorithmic trading team. The team run their high frequency strategies across all asset classes and are operating at the leading edge of quantitative trading. They are looking to drive forward into new areas and develop new strategies in order to diversify model and strategy risk. You will work closely with the traders to gain market exposure and assist in the development of new quant strategies. You will also liase strongly with the team of world class quant developers to learn the detailed intricacies of the technology being used so you can exploit it in your role.   The ideal candidate will have with a PhD from a leading academic institution in a quantitative based discipline. During the course of your studies you will also have been exposed to advanced statistics. Knowledge or experience in the areas of neual networks, artificial intelligence,signal processing or Bayesian filtering will be advantageous. Strong coding skills in C++ required.  The team is prepared to offer compensation packages at the top end of the market rate for the suitable candidate. Please send a Word CV to Tina Kaul at quants@ekafinance.com or call Tina on + 44 207 7910468. Additional Information Location: US-NY-NYC Status: Full Time, Employee Career Level: Entry Level Reference Code: JAQ2601 Job Category: Accounting/Finance Salary/Wage: 100,000.00 - 125,000.00 USD /year Relevant Work Experience: Less than 1 Year Education Level: Doctorate Contact: Tina Kaul eka finance Apply by Email Phone:+442077910468 View all "eka finance" jobs