Posted:2 days ago|
Platform:
On-site
Full Time
Qualification: B.Tech from IIT / BITS with at least CFA / FRM level 1 cleared is Mandatory
Role Overview
Key Responsibilities
Initial Responsibilities (Support Phase)
• Work with large financial datasets: cleaning, transforming, and preparing them for analysis.
• Automate reporting and model execution pipelines to improve team efficiency.
• Support senior developers and modelers in debugging, code reviews, and documentation.
• Implement validation routines to ensure numerical accuracy and stability of models.
Progressive Responsibilities (Modeling Phase)
• Implement numerical and statistical techniques (e.g., Monte Carlo simulations, curve construction, optimization) under guidance.
• Participate in stress testing, scenario analysis, and sensitivity studies.
• Collaborate with actuaries and risk managers to align model outputs with business needs.
• Support model governance: documentation, regulatory requirements, and internal validation.
Qualifications & Skills
Essential:
• Proficiency in quantitative techniques, statistical analysis, programming languages, C++/C# or Python programming
• Solid foundation in numerical methods, probability, and statistics.
• Ability to work collaboratively in fast paced environment, with strong communication and problem-solving skills.
Preferred / Nice to Have:
• Familiarity with financial instruments and products (fixed income, derivatives, insurance liabilities).
• Exposure to SQL and database management.
• Knowledge of stochastic modeling, optimization techniques, and machine learning applications in finance.
Career Path & Growth
This position provides structured learning and mentorship. The successful candidate will start by supporting quantitative developers and gradually transition into building and owning models. Long-term career growth includes roles with opportunities to take increasing responsibility for designing ALM strategies, risk models, and valuation frameworks.
Agam Capital
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