Intern-Quantitative Developer

Highlight of the engagement opportunity Nature of role : Full time Internship (In Office)

Number of years of experience expected : Freshers.

Areas of past experience preferred : Quantitative modelling, Risk- modelling

Educational qualification expected : Graduate / Pursuinggraduation (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 usingour 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 : 3-6 months

Probation period : 3-6 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 benefitsincluding 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 duringthe selection process.While the actualprocess may vary from the processindicated below, the key steps involvedare as follows :

Interview : There are expected to be at least 3 rounds of interviews. The number of interview roundsmay 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 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 careers@acies.holdings.

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 -