Callisto Talent Solutions

The Corporate Institute; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

The Corporate Institute is seeking a Quant Researcher specializing in Mid-Frequency Trading (MFT) to join its quantitative research team. You will design, model, and deploy strategies across multiple asset classes, leveraging a strong mathematical background to analyze large datasets and identify trading opportunities.

You will work with an in-house execution platform, performing portfolio monitoring, risk assessment, and performance analysis to drive informed decisions and strategy improvements.

Qualifications

• Degree in Mathematics, Computer Science, Physics, Electrical Engineering, or Financial Engineering from a reputed institute.
• Hands-on with data structures, algorithms, and object-oriented programming.
• Strong proficiency in Python/R, and C#/C++ and quantitative research mindset.

Responsibilities

• Design, model and deploy mid-frequency trading strategies across asset classes.
• Analyze large financial datasets to identify trading opportunities.
• Manage execution of strategies through an in-house algorithmic trading platform.
• Portfolio monitoring, risk management and performance analysis.

Skills

Data structures & algorithms

Object-oriented programming

Python

R

C#/C++

Quantitative mindset

Education

Mathematics

Computer Science

Physics

Electrical Engineering

Financial Engineering

Tools

Python

R

C#

C++

Job description

Quant Researcher – MFT

About:

• Our client is a MFT firm functioning across asset classes.
• They are team of highly skilled quant developers, researchers, mathematicians, and statistical experts.
• They are hiring for Quantitative Researcher with expertise in MFT to join their quant team.

Job Responsibilities:

• Design, model and deploy mid-frequency trading strategies on different asset classes.
• Analyse large financial data sets to identify trading opportunities.
• Manage execution of strategies through an in-house algorithmic trading platform
• Portfolio monitoring, risk management and performance analysis

Essential Qualification and Skills:

• Degree in Mathematics, Computer Science, Physics, Electrical Engineering, Financial Engineering from Tier 1 institute.
• Hands on with data structures, algorithms, and object-oriented programming
• Strong in Python/R, C#/C++
• Quantitative aptitude and research-oriented mindset