Front Office Quant Developer/Machine Learning

Company:
Maven Search
Location:
New York City, NY
Job Type:
Full Time
Category:
Asset Management
Yrs of Exp:
2+ to 5 years
Posted:
2/5/2013

Job Description


Front Office Quant Developer/Machine Learning, NEW YORK. $180K+BONUS

FIRM:
  • Our Client is a leading automated trading firm. Rapidly growing and with the vision to offer the best bid and offer prices on every major electronic exchange. As part of their continued growth, the firm would like to hire Front office Quant Developer to its team.

ROLES:
  • Developer who will work closely with our traders and technologists to mine data, identify opportunities and build tools which will enable new approaches to trading as well as the way we look at information.
  • Candidates will possess both strong programming and analytical/mathematical abilities. Profiles for this role may include (but not limited to) individuals with a background in mathematics, physics or computer science who also possess extensive programming experience or software developers who have a demonstrated experience in mathematics, algorithms or theory.

REQUIRED SKILLS:
  • 2 - 4 years extremely proficient in an object-oriented programming language such as C++ /C# or Java.
  • Experience implementing machine learning techniques, time series analysis, digital signal process, statistics or applied mathematics in a commercial setting.
  • Experience developing systems which successfully interpret enormous amounts of historical data.
  • Experience manipulating and maintaining large data sets.
  • Strong background with statistical programming languages preferred.
  • Excellent communication skills both verbal and written.
  • Bachelors Degree in Computer Science or related field is required.
  • PhD in Maths/Stats or Olympiads will be a huge plus.


CONTACT:
  • If you find this role of interest, please submit your application to apply@mavenalpha.com quoting the reference SAM. Alternatively, please call our offices at 646-502-8555 and ask to speak with SAM for a confidential discussion. Thank you for your interest and we look forward to engaging with you.


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