Scientech Research

Proprietary quantitative trading using scientific models

Mid-level Quantitative Researcher

Quantitative ResearchConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

Three to five years of work experience in systematic alpha research or equity trading.
A good track record of innovative thinking and problem solving.
An advanced degree in science or engineering, preferably majoring in Statistics, Mathematics, Computer Science, Electrical Engineering, or Physics, and formal training in independent academic research.
Proficiency in C++ and Python programming languages.
The ability to communicate effectively, work rigorously and patiently, and collaborate as part of a team.
High motivation and the ability to work in a fast-paced environment.

Responsibilities

Apply rigorous statistical analysis to large quantities of market and financial data to produce predictive trading models and strategies.
Perform the full research and development cycle for global equity quantitative trading, including idea generation, data cleaning, strategy backtesting, portfolio optimization, risk management, and production monitoring.

Desired Qualifications

An advanced degree from a top university majoring in Statistics, Mathematics, Computer Science, Electrical Engineering, or Physics is preferred.

Job Responsibilities:

Apply rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models and strategies.
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.

Qualifications:

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, preferably Statistics, Mathematics, Computer Science, EE, and Physics. Have formal training of independent academic research.
Programming skills: proficient in the following programming languages - C++ and Python.
Good communicator, being rigorous, patient, and having a strong sense of teamwork.
Highly motivated, and able to work in a fast-paced environment.

About the Company

Scientech Research

Proprietary quantitative trading using scientific models

Scientech Research Capital is a proprietary quantitative trading firm that uses scientific principles and advanced technology to trade in major global electronic markets with its own capital. The company builds and constantly refines trading models through quantitative research conducted by scientists and technologists, processing large data sets and connecting to about 10 exchanges worldwide to support a daily trading volume around 1 billion. Its products are data-driven trading strategies and an infrastructure platform for multi-asset trading. Unlike many peers, Scientech emphasizes a rigorous, research-led approach and extensive global connectivity to maintain a competitive edge and serve institutional clients. The firm aims to expand its multi-asset trading and research platform to global markets and grow its revenue from proprietary trading by capitalizing on market inefficiencies and volatility.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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