Mid-level Quantitative Researcher
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Before you apply
SalaryNo pay range posted
LocationNew Jersey
Work modeon-site
Typefull-time
SeniorityMid
Experience3–5 yrs
DepartmentQuantitative Research
Company size51–200 people
PostedJan 24, 2025 · 1y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Jan 24, 202593% of this company's open roles have been listed for 90+ daysNo pay range listed, though New Jersey requires oneDescription is very short or shared across several roles
At a glanceSummarised by Seekless from the posting.
3-5 years of work experience in systematic alpha research/equity trading
Have a good track record of innovative thinking and problem solving
Must have graduated with advanced degrees from top universities majoring in science and engineering
Formal training of independent academic research
Proficient in C++
Proficient in Python
Good communicator
Rigorous
Patient
Having a strong sense of teamwork
Highly motivated
Able to work in a fast-paced environment
Skills
C++
Python
Responsibilities
Job Responsibilities:
1.
Apply rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models and strategies.
2.
Perform full research and development cycles of global equity quantitative trading, including idea generations, data cleaning, strategy backtesting, portfolio optimization, risk management and production monitoring.
Requirements
Qualifications:
1.
3-5 years of work experience in systematic alpha research/equity trading.
2.
Have a good track record of innovative thinking and problem solving.
3.
Must have graduated with advanced degrees from top universities majoring in science and engineering, preferably Statistics, Mathematics, Computer Science, EE, and Physics. Have formal training of independent academic research.
4.
Programming skills: proficient in the following programming languages - C++ and Python.
5.
Good communicator, being rigorous, patient, and having a strong sense of teamwork.
6.
Highly motivated, and able to work in a fast-paced environment.