Intern-Quantitative Developer

Job Description 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 https://www.acies.consulting/contact-us.php or e-mail us at [Confidential Information]gs. 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 - https://www.acies.consulting/careers-apply.html