(15h Left) 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, Python, C++, MSSQL Key responsibility areas: - Develop end to end functionalities for modelling macro-economic factors and market prices like Interest rate, Credit Spread, FX, Commodities and Volatility. - 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 - 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 - 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 project streams. 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 analytical coding languages like Python - 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, behavioural 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 -