Highlight of the engagement opportunity

• Nature of role: Full time
• Number of years of experience expected: 0-2 years.
• Areas of past experience preferred: Risk modelling, Quantitative modelling.
• Educational qualification expected: Graduate/ Pursuing graduation in Commerce / Engineering / Economics / Statistics / Mathematics
• Additional qualifications/ certifications required: Actuarial science (Cleared more than 9 actuarial papers) / FRM / Chartered Financial Analyst (CFA) / Certificate in Quantitative Finance (CQF) / Chartered Accountant (CA)
• Preferable additional certifications: None
• Preferred geography of previous work experience: India / Europe / APAC / US
• Language requirements: Ability to write and speak fluently in English.
• Application experience: Python, MSSQL, PosgreSQL, NoSQL, Hadoop
• Location of talent engagement: Mumbai, Goa

Key responsibility areas:

• Work on medium to large-scale system implementations in areas related to ALM, liquidity risk, interest rate risk, balance sheet management, FTP, ICAAP, regulatory capital etc. for banks, NBFCs, insurance companies and corporates across the globe
• Develop new application functionalities / features using Acies’ proprietary no-code platform
• Test GUI flow and accuracy of developed functionalities / features across the application
• Conduct research on functional methodologies and design prototype models pertaining to pricing, risk factor modelling, balance sheet projections and balance sheet management
• Develop product documentation and collateral such as business requirement documents, functional specification documents, user manuals, demo presentations, test case repository etc.
• Independently drive day-to-day execution of assigned client projects and internal development initiatives

Other important information:

• Work permit requirements: Either Indian Citizen or having valid work permit to work in India
• Period of engagement: Full-time position
• Probation period: 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 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 and quant methodologies
• 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:

• Understanding of python-based libraries for high-speed compute
• 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
• Demonstrate proficiency in database technology such as MSSQL/Postgresql/Hadoop

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 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 - https://www.acies.consulting/careers-apply.html