Position: Quant Analyst

Location: Mumbai (Prabhadevi)

Experience: 3 – 5 Years

Budget: Rs. 10 Lacs – Rs.12 Lakhs

Education: Bachelor’s degree in Business Administration, Finance, Computer Science, or a related field, with specialization in Data Science. A master’s degree or relevant certifications will be a plus.

Job Description: As a Quant Analyst for the Trading Platform, the candidate will play a crucial role in analysing large amounts of multi-level execution data, applying financial and statistical modelling concepts to document performance of trading algorithms/ risk management system (RMS), identify and document areas for improvement of algorithm/ RMS behaviour and monitor results and progress. The candidate will collaborate closely with cross-functional teams, including software developers, product managers, business analysts and functional architects, to deliver high-performing algorithmic trading and risk management solutions.

Responsibilities:

  • Create models to assess platform performance: Create financial, statistical, and comparative models based on business context and requirements (Algorithms, RMS) to assess various aspects of Algo/ RMS behaviour and performance.
  • Analyse historical execution data as per model: Analyse large quantum of past data logs based on the models developed and document findings.
  • Develop tools for real-time performance monitoring as per model: Develop tools for real-time performance monitoring of algorithms/ risk management system, based on applicable models and highlight deviations/ outliers and factors contributing to the same.
  • Present findings and corrective actions: Document and present findings, including models used, context, performance summary, outliers, major factors contributing to performance, major factors/ components impacted by algorithms/ risk management system. Based on the data analysed, present actions that can be taken to improve performance, defining adaptive techniques.
  • Continuous improvement: Collaborate with developers, functional and technical architects, product managers, and technical operations teams to monitor and continuously improve product performance and outcome.
  • Idea generation: Present ideas for new algorithms and risk management functionalities based on the data models, to improve overall product offerings.

Requirements:

  • Knowledge of financial markets: Familiarity with equity trading, derivatives, risk management, and market data concepts.
  • Strong analytical and problem-solving skills: Ability to analyse complex business processes, identify inefficiencies, and propose effective solutions.
  • Excellent communication, documentation, and collaboration: Strong interpersonal skills with the ability to communicate complex ideas clearly and concisely. Ability to document ideas in simple and effective way. Experience working with cross-functional teams and stakeholders at all levels.
  • Detail-oriented: Ability to pay attention to detail and ensure accuracy in documenting requirements and specifications.

Desirable Skills/ Experience:

  • Knowledge of Agile methodologies
  • Tools: MS Office, JIRA, Confluence
  • Tools for data science, data engineering, data analysis and data visualization

NOTE: Professionals interested to apply for the position can email a copy of their CV with current salary detail and notice period to: enquiry@teamrecruiter.in

Comments are closed.