Data Analyst

This is a private institutional investment management complex consisting of an international team of researchers and technologists who constantly work toward ever greater quantification and automation in the development of processes.

In this role, candidate will implement and maintain software towards creation of new datasets. Data sets will be consumed internally by researchers and utilized by internal quantitative models. Candidate will design efficient algorithms for collection, analysis, processing and filtering of data.

Job Responsibilities:
• Work with the global team in designing and implementing data retrieval software for various data sets
• Implement the rules and procedures that ensure integrity in data sets
• Collect and analyze statistics on market data applications and devise approaches to improve the relevant processes
• Develop and enhance monitoring tools to detect various types of errors in data

Job Qualifications:
• Background in Computer Science, Engineering, Math or Physics, with minimum Bachelor’s degree. Proof of good academic record (such as GPA and other relevant test scores)
• Effective problem-solving skills both independently and as member of a team
• Good communication skills: must be fluent in English, spoken and written
• Experience working under Linux environment, familiar with vi or emacs for editing files
• Interested in applying technology to real world situation, comfortable working in fast paced work environment, detail oriented and capable performing tasks under time pressure
• Experience with programming in C/C++, familiar with common algorithms and data structures (binary tree, sorting, etc), Object Oriented programming and design patterns. Familiarity with compilers, debuggers under Linux (gcc, g++, gdb).
• Experience with scripting languages, such as Perl, Python, and shell scripting
• Knowledge of basic statistics/probability, familiar with concepts such as correlation, standard deviation and how to compute
• Familiarity with databases (such as MySQL)