Quantitative Risk Analyst

2 days ago

Mumbai, Maharashtra, India beBeeRisk Full time ₹ 5,00,000 - ₹ 10,00,000
Job Title:

Actuarial Intern

About the Opportunity

The selected candidate will work with our team to deliver on functionalities related to asset liability management, interest rate risk in banking book, behavioral modelling, Pillar 1 risks (Market Risk, Credit Risk, Operational Risk), Pillar 2 Risks (ICAAP), fund transfer pricing and profitability analysis on our proprietary application suite for Balance Sheet Management.

  • Deliver end-to-end functionalities for modelling macro-economic factors and market prices like Interest rate, Credit Spread, FX, Commodities and Volatility.
  • Validate cashflow, valuation and sensitivity models using excel / python for banking and derivative products.
  • Develop project execution and product collaterals.
  • Adhere to development standards and protocols mandated by product organization.
Key Responsibilities

  • Work with engagement teams to develop and implement risk analysis models and assist with client user acceptance testing.
  • Build python and excel models to validate and optimize risk assessment.
  • Develop end-to-end functionalities for risk analysis and validation.
  • Collaborate with cross-functional teams to ensure smooth project execution and delivery.
Requirements and Qualifications

  • Quantitative Modelling: 0-2 years of experience in quantitative modelling, risk management, and statistical analysis.
  • Risk Assessment: Proven ability to assess and manage risk in a fast-paced environment.
  • Communication Skills: Excellent written and verbal communication skills to effectively collaborate with cross-functional teams.
  • Technical Skills: Proficiency in Python, Excel, and SQL database management systems.
Benefits

  • Competitive compensation package.
  • 22 working days off per year.
  • Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies.
  • Medical insurance benefits.
Selection Process

  • Interviews: Multiple rounds of interviews with key stakeholders.
  • Final discussion on career and compensation: Post-final selection, a separate discussion will be held to discuss compensation and career growth.
Preparation Required

  • Demonstrate knowledge of Banking risks and quantification.
  • 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 database like MSSQL and PostgreSQL.

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