Quantitative Analyst: Algorithmic Trading & Data Signals

AlphaGrep; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Offsites

Happy hours

Corporate sports teams

Gym membership

Stocked kitchen

Generous vacation package

Job summary

AlphaGrep Securities Private Limited seeks a Quant Analyst to join the trading group responsible for fast algorithmic strategies across asset classes. You will analyze market data, back-test models, and collaborate with technology to improve electronic trading systems.

The role requires strong mathematical and programming skills, experience in data modelling, and the ability to manage multiple tasks in a high-paced environment. A top-tier degree and excellent communication are expected.

Qualifications

• Bachelor/Master/PhD from a top-tier institute.
• Experience with data analysis, market research and data modelling is a plus.
• Software development experience, preferably in C++, Python or R/Matlab.
• Ability to manage multiple tasks in a fast-paced environment.
• Strong communication skills.
• Working knowledge of Linux/Unix.

Responsibilities

• Identify, maintain, and enhance trading strategies and business opportunities for market making algorithmic trading teams.
• Analyze trading performance and financial time series data with fundamental statistical theories.
• Use systematic and data-driven approach to automate trading strategies.
• Financial model construction, back-testing, maintenance and improvement.
• Collaborate with technology team to understand, maintain, and improve electronic trading systems.
• Ability to manage risk and knowledge of risk procedures.

Skills

Data analysis

Market research

Data modelling

C++

Python

R/ Matlab

Linux/Unix

Communication

Education

Bachelor/Master/PhD from top-tier institute

Tools

C++

Python

R/Matlab

Job description

AlphaGrep Securities Private Limited seeks a Quant Analyst to join the trading group responsible for fast algorithmic strategies across asset classes. You will analyze market data, back-test models, and collaborate with technology to improve electronic trading systems.

The role requires strong mathematical and programming skills, experience in data modelling, and the ability to manage multiple tasks in a high-paced environment. A top-tier degree and excellent communication are expected.