Two Sigma - Quantitative Analyst - Campus Hire

[Andy Nguyen]

This is one of the projects Quantnet is working on. We will browse the internet and find jobs and internships that are most relevant to our members. In most case, the job we target will be for entry level quantitative fields where an MFE degree would be ideal

Here is the first one

Description: Quantitative analysts utilize exceptional mathematical abilities and programming skills to solve challenging problems alongside our team of highly-motivated, world-class modelers. In this role, your responsibilities will range from writing production-quality, reliable, and highly-tuned numerical code to establishing and improving robust trading strategies. You will manipulate, clean, and analyze large datasets to conduct bias-free simulations, as well as monitor academic research and practitioner literature to create and refine investment strategies.

Ideal candidates will have: a bachelor’s or advanced degree in a quantitative subject from a top university; strong programming skills in Java, C or C++; solid numerical programming abilities; and exceptional knowledge of computational numerical algorithms, linear algebra, and statistical methods. In addition to having experience working with large data sets, successful candidates will possess innate curiosity, resourcefulness, dedication to detail, and a strong interest in finance and quantitative investing.

http://tbe.taleo.net/NA2/ats/careers/requisition.jsp?org=TWOSIGMA&cws=1&rid=312

 

[Andy Nguyen]

Two Sigma - Quantitative Research Analyst - Internship

Description
Two Sigma's internship provides outstanding opportunities for you to learn and contribute within our highly regarded Research group. As a quantitative research intern, you'll use your creativity, along with your quantitative and analytical skills, to help us solve cutting-edge problems in finance. While projects will vary, possible areas of focus will include assisting researchers in formulating and investigating trading ideas or new business initiatives; analyzing complex datasets; and implementing programmatic tools and scripts to increase research productivity.

Ideal candidates will be enrolled at a top university, majoring in at least one of the following: finance, economics or econometrics, statistics, math, engineering or computer science. Candidates will have: at least intermediate-level programming skills; the ability to take-on and complete complex research projects; and exceptional analytical, organizational and communication skills. Candidates should possess a strong interest in finance, ideally with a particular interest in quantitative trading. Successful candidates will anticipate graduating between December 2011 and June 2012.

Two Sigma