Actuarial Associate

Highlight of the engagement opportunity Nature of role: Full time Number of years of experience expected: 0-2+ years Areas of past experience preferred: Quantitative modelling, ERM, Risk modelling & management, time series modelling, regression analysis, quantitative analysis and actuarial modelling Educational qualification expected: Pursuing graduation/ Graduate/ Postgraduate Additional qualifications/ certifications required: None Minimum actuarial papers: 3-8 actuarial exams cleared/ Actuary certifications / degrees Preferred geography of previous work experience: India / Europe / APAC / US Language requirements: Ability to write and speak fluently in English Application experience preferable: MS Excel, VBA, Python, C++, MSSQL, R Key responsibility areas: Develop stress testing models for financial risks Design and build solutions on Basel Pillar I and Pillar II modelling on proprietary platform Configure Pillar III disclosure reports for ICAAP and Risk appetite reporting Develop end to end functionalities for modelling macro-economic factors and market prices like Interest rate, Credit Spread, FX, Commodities and Volatility. Model validation and documentation Adhere to development standards and protocols mandated by product organization. Drive the day-to-day execution of assigned client projects. Staying informed of latest developments in web applications and programming languages. Opportunity to work across risk functions like market risk for the banking and financial industry, and monitoring of investment fund performance using automation Demonstrate functional understanding and interface with clientele during engagements. Conduct training sessions for end-users on the use of the Application and provide comprehensive documentation for ongoing reference. Perform financial analysis and risk modelling using analytical tools like python. Ability to analyze functional areas of a business and derive underlying risks for the business area Construct model documents to concisely communicate model methodology, assumptions and results along with governance and mitigations for the risk area. Participate in peer-review sessions for constructed risk models. Effectively communicate results and conclusions using PowerPoint. Clear communication skills to drive day to day client management and highlight key project risk areas to the team. Lead and drive day-to-day execution of assigned client projects. 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: Interview: There are expected to be at least 2-3 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 you have during this discussion. Preparation required: It is recommended that you prepare on the following aspects before the selection process: Demonstrate knowledge of Banking risks and quantification Demonstrate knowledge of Basel accords on Banking risk management 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/C++/Java and database like MSSQL Understanding of products / exposures in the financial services industry (Banks / NBFC / Insurance) Requirements of Basel III, FRTB and ALM regulations for Banks. Knowledge requirements on various risk quantification models such as Linear regression and VaR Basic knowledge on a financial institution’s credit process, ALM process and treasury process to be able to effectively understand the risk areas for them. Financial statement analysis, balance sheet ratios Knowledge and understanding about capital adequacy, stress testing, behavioral modelling etc 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 -