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 -