Quantitative Research – Information Technology – Programming – Software Development – Data Science – Data Mining – Machine Learning  -Finance – Financial Engineering  – Derivatives – Fixed income – Statistics

Our clients include the top technology, research and trading firms in the world. Candidates with background/expertise in the following are encouraged to apply:

MS/Ph.D level expertise in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, Other Engineering or Quantitative Discipline, Finance, Economics.

TECHNOLOGY SYSTEMS & SOFTWARE DEVELOPMENT: Software Development & Computer Programming, Quantitative Systems & Trading Applications, Project Management and Software Development Management, Software Quality Assurance, Information Security.

QUANTITATIVE RESEARCH: Statistics & Econometrics, Operations Research, Quantitative Analysis,  Data Science, Big Data & Data Mining,

QUANTITATIVE FINANCE & CAPITAL MARKETS: Quantitative Finance, Derivatives, Fixed Income Research, Risk Management

Candidates with the following skills are encouraged to apply.

Python. Java. C++, Ruby, Javascript, C#, PHP, PERL,  SCALA, Objective C++,  R, Matlab, Mathematica, S-Plus,  Clojure, Rust, Haskell, Julia

Big Data: Performing complex data analysis.  Technical knowledge may include:

SAS, Artificial neural networks, Genetic algorithms, Decision tree, Nearest neighbor method, Rule induction, Data visualization.

Big data analytics,  Bid data expertise, Data growth, Data integration

Massively Parallel Processors (MPP)

Microsoft SQL Server, NoSQL (databases), MemSQL,