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Quantitative Developer (w/ Java and Scala)

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Job ID Number: 1423
Employment Type:
Minimum Degree: Associates
Location: New York, NY
Contact: prog@connectionsny.com
Category: Java,Quantitative Developer
Salary Range: N/A
Consultant Range: N/A
Description:

Looking for a sharp and innovative Junior/Senior Back Quantitative Developer to join the Technology Department in building the next generation financial platform.  We approach finance with a fresh perspective, leveraging the latest technologies in functional programming, distributed computing and large dataset management to provide clients with not only intuitive analytics in sub-second, but valuable and actionable insights. The team is comprised of passionate, innovative and intellectually curious engineers from diverse backgrounds that share a common thirst for growth, the open source community and revolutionizing the finance industry.

 

We are looking for a talented quantitative developer to become a core contributor to our collaborative, which is made up of high-octane engineers with a wide skill set. The role offers exposure to the entire product suite and provides a great opportunity for ownership. The candidate will drive system architecture and implementation from inception to release.

 

Requirements:

Qualifications & Experience

The ideal candidate would possess the following:

• A Computer Science degree from a top university program (Undergraduate or Graduate)

• Masters or PhD in Mathematics, Physics, Statistics, or another Quantitative field

• Experience with doing quantitative research, programming and analytics

• Strong background in the following: probability, stochastic processes, statistics, numerical methods

• Experience building large scale computation systems

• Strong appreciation for architecture, problem solving, testing and agile development

• Rudimentary skills using SQL and an understanding of various NOSQL offerings (Mongo DB)

• Work with the open source community, developing open source software is a plus

• Statistical Tools such as Matlab, R, Splus, etc.

• Large dataset management and efficient distributed computation

• Unit testing, regression testing and general test automation

• Parallel programming, distributed computing , Map Reduce, Distributed Memory Grids

• A strong desire to learn about Hedge Funds and the financial industry is a must, but experience is a plus

• Desire to pursue deeper education in finance through courses, CFA, CAIA or MBA program

Please submit a brief summary about why you think you might be a good fit along with your resume.