Acies | Quants Intern | mumbai

4 weeks ago


mumbai, India Acies Full time

Highlight of the engagement opportunity

  • Nature of role: Intern
  • Number of years of experience expected: Freshers.
  • Areas of past experience preferred: Quantitative modelling, Risk-modelling
  • Educational qualification expected: Graduate/ Pursuing graduation (Mathematics, Statistics, Quantitative Economics, Actuarial Science)
  • Additional qualifications/ certifications required: None
  • Preferable additional certifications: FRM/CFA
  • Language requirements: Ability to write and speak fluently in English.
  • Application experience: Python, C++, MSSQL, PostgreSQL, Hive, Hadoop


Key responsibility areas:


  • Develop end to end computation functionalities around statistical techniques, text analytics and machine learning techniques.
  • Develop end to end functionalities on financial instrument valuations, risk assessment, scenario analysis and simulations.
  • Develop end to end functionalities for modelling macro-economic factors and market prices like Interest rate, Credit Spread, FX, Commodities and Volatility.
  • Develop models for financial risk assessment and reporting using our proprietary no-code application.
  • Design and build solutions on proprietary applications according to client requirements.
  • Adhere to coding standards and protocols mandated by product organization.
  • Drive the day-to-day execution of assigned projects.


Other important information:


  • Work permit requirements: Either Indian Citizen or having valid work permit to work in India
  • Period of engagement: 3 months
  • Probation period: 3 months
  • Compensation: Compensation varies depending on the skill, fitment and role played by the person. Compensation discussions will take place post the selection process.
  • Leave: 22 working days a year. Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies vary based on the city and country of engagement.
  • Other benefits: Other employment benefits including medical insurance will be informed during the compensation discussion.
  • Career growth for full-time roles: Acies believes in a transparent and data-based performance evaluation system. You are encouraged to clarify any questions you have with respect to career growth with Acies personnel you interact with during the selection process.


Selection process:

We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows:

  • Test: Online test on Python
  • Case study-based interview: Case study to be provided one hour prior to interview. Solution walkthrough and technical interview
  • Interview: There are expected to be at least 3 rounds of interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved.
  • Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications.


Preparation required:

It is recommended that you prepare on some of the following aspects before the selection process:


  • Demonstrate proficiency in financial instrument valuation and risk assessment.
  • Demonstrate proficiency in statistical, econometrics and time series analysis.
  • Demonstrate proficiency in use of back-end server-side languages like Python
  • Experience in database technologies like MSSQL/MySql/Postgresql will be preferred.



For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at or e-mail us at


How to reach us:

Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page -



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