Intern-Quantitative Developer

3 weeks ago

Panaji Muwara, India Acies Full time

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, HadoopKey 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 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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