Highlight of the engagement opportunity
• Nature of role: Full time internship (6-12 months) with option to convert
• Number of years of experience expected: - (0 – 2) years
• Areas of past experience preferred: Quantitative modelling, Risk Management
• Educational qualification expected: Graduate/ Pursuing graduation
• Additional qualifications/ certifications required: None
• Preferable additional certifications: Actuary certifications / degrees
• Preferred geography of previouswork experience: India / Europe / APAC / US
• Language requirements: Ability to write and speak fluentlyin English
• Preferred Application experience: Python, Advanced excel, Powerpoint
• Location: Mumbai, Goa

Key responsibility areas:
• Work with engagement teams to deliver on following functionalities on our proprietary application suite for Balance Sheet Management:

-Asset Liability Management (ALM)
-Interest Rate Risk in Banking Book (IRRBB)
-Behavioral Modelling
-Pillar 1 Risks (Market Risk, Credit Risk, Operational Risk)
-Pillar 2 Risks (ICAAP)
-Fund Transfer Pricing (FTP)




-Profitability Analysis
-Understand client requirements and support during preparation of BRD, FSD documentation.
• Build python and excel models on risk analysis to validate models and assist with client user acceptance testing.
• Validate cashflow, valuation and sensitivity models using excel / python for banking and derivative products.
• Develop end to end functionalities for modelling macro-economic factors and marketprices like Interest rate, Credit Spread, FX, Commodities and Volatility.
• Develop project execution and product collaterals.
• Adhere to development standards and protocols mandated by productorganization.

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 pers

📌 Actuarial Intern (Mumbai)
🏢 Acies
📍 Mumbai