Product Analyst (Intern)
Acies
Mumbai, Maharashtra, India0–2 yrs6d agovia LinkedIn
About the Role
- Nature of role: Full-time internship (6-12 months) with option to convert.
- Location: Mumbai, Goa.
- Period of engagement: Full-time position.
- Probation period: 6 months.
Key Responsibilities
- Work with engagement teams to deliver on functionalities for Balance Sheet Management applications, including:
- 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 the preparation of BRD and 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 modeling macro-economic factors and market prices such as Interest rate, Credit Spread, FX, Commodities, and Volatility.
- Develop project execution and product collaterals.
- Adhere to development standards and protocols mandated by the product organization.
Requirements & Tech Stack
- Areas of past experience preferred: Quantitative modelling, Risk Management.
- Application experience preferable: Python, Advanced Excel, PowerPoint.
- Database experience: MSSQL, PostgreSQL.
Qualifications
- Educational qualification expected: Graduate/Pursuing graduation.
- Minimum actuarial papers: Actuary certifications / degrees.
- Language requirements: Ability to write and speak fluently in English.
- Work permit requirements: Either Indian Citizen or having a valid work permit to work in India.
- Preferred geography of previous work experience: India / Europe / APAC / US.
Preparation Recommended
- 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 and databases like MSSQL and PostgreSQL.