Trade Operations Analyst

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Us:

Mathisys QuantCap is a global quantitative research firm specializing in high-frequency

trading (HFT) strategies across diverse asset classes in global markets. We excel in both

developed and emerging markets, with a deep focus on infrastructure, market

dynamics, and performance optimization. Our expertise in latency, execution, and

scalability drives our success, allowing us to stay ahead in the competitive landscape.


Job Summary:

We are looking for a highly motivated and detail-oriented individual to join our Trading

Operations team. As a fresher, you will work closely with experienced analysts and

developers to ensure the smooth functioning of our trading infrastructure, assist in real-

time monitoring, and help automate operational workflows. This role is an excellent

opportunity to build a solid foundation in trading systems and scripting within a fast-

paced financial environment.


Key Responsibilities:

  • Assist in monitoring and maintaining systems and processes.
  • Automating workflows and collaborating with tech teams to build reliable tools that reduce manual work and minimize risk.
  • Contribute to the development and maintenance of internal tools and utilities.
  • Proactively identify and resolve issues in scripts and processes supporting daily trading operations.
  • Participate in improving system efficiency, reliability, and documentation.


Qualification:

  • Bachelor’s degree in Engineering or a related field.
  • Good knowledge of Python (file I/O, subprocess, pandas, regex).
  • Fundamental awareness or knowledge of SQL.
  • Comfortable using Linux command-line tools and basic shell scripting.
  • Ability to tackle complex tasks with guidance, while gradually taking initiative and ownership as confidence and experience grow.


Skills:

  • Familiarity with financial markets or trading concepts.
  • Understanding of data formats (CSV, JSON, YAML) and basic version control.
  • Basic knowledge of frontend (HTML/CSS/JavaScript) and backend (Flask) development.

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