C++ Programmer

C++ Programmer

Job Location: Vikhroli, Mumbai

Company: Agam Capital

Requirements:

· B Tech /Masters/PhD in Engineering, Maths, Statistics, Actuarial or any other quantitative field from Tier I colleges (IIT, IIIT, NIT, IISc, IISER, NISER, BITS, Top colleges etc)

· Proficiency in software design/algorithms/strategies in either C++ or similar languages

Very strong in OOPS concept

· Basic understanding of financial markets, asset/liability valuation, risk measurements, stochastic process

· Experience of 1 - 2 years in actuarial models / risk management / quantitative roles would be a plus. Recent graduates are welcome to apply.

· High level numerical and reasoning skills

· Good communication skills

Responsibilities:

· Analyze and develop cashflow and financial models for insurance liabilities, investment assets, and asset allocation

· Software programming including testing & validation, debugging, documentation, optimization, and maintenance of solution/projects

· Challenge and identify the gaps/areas for enhancements in current model implementations

· Assist in different M&A deals across the life insurance space

· Develop understanding of life insurance domain (US regulations & products) to assist in M&A, model development and other ad hoc projects.

The Organization:

Agam was founded in 2016. The vision is based on the development of an independent model built from first principles enabling Agam to identify solutions to optimize insurer's balance sheets. Technology lies at the core of this approach with the differentiated pALM (proprietary Asset-Liability Model) platform powering the analytical process.

Agam has a well-established analytical process across the entire suite of life and retirement products. pALM, our highly scalable proprietary technology platform applies machine learning, predictive analytics, and cloud computing to evaluate and assess complex insurance liabilities. Agam’s consulting and advisory services are tailored to meet unique needs of each client. Agam specializes in identifying multi-dimensioned approaches towards capital and balance sheet optimization