About the role

Aon is looking for a Senior Technical Lead, Software Engineering

As part of an industry-leading team, you will help empower results for our clients by delivering innovative and effective solutions as part of our Aon Life Solutions within Aon Reinsurance Strategy and Technology Group, in India. As a software engineer and Senior Technical Lead, you will report directly to the Director, Global Life Risk Modelling Consulting offshore lead.

Your impact as a Senior Technical Lead:

Aon Life Solutions provides high efficiency computing software, consulting services as well as advisory services to financial intermediaries, primarily insurance companies. The high-performance software platform, PathWise, provides companies with the ability to easily model financial obligations without involved coding and is run on Graphical Processing Units (GPU), making it the fastest, readily available software platform currently in use in the insurance industry. Global Life Risk Modelling consulting services has focused primarily on actuarial analysis, modelling of insurance liabilities and financial assets and reviews of hedging programs. As a Senior Technical Lead and Software Engineer in Global Life Risk Modelling Consulting Team, you will work with different teams to support the development of models and processes for companies moving to PathWise. You will break down complex problems into steps that drive product development. You will provide valuable contributions to the Aon Life product vision and go- to-market strategy.

What The Day Will Look Like

Support the development of models and processes for companies moving into PathWise.
Support the development of complex actuarial and financial products and libraries powered by HPC on GPUs in an Agile environment.
Provide technical guidance as an expert in multiple technologies to the software development team and supervise their activities.
Develop innovative solutions to some of the most complex and challenging problems by collaborating as needed across regions, product areas and functions.
Understand trends in financial and insurance industries, the cloud ecosystem, the competitive market and customer requirements in depth.
Perform analysis and research into technology trends, products and competitors; provide recommendations for improvements and general changes to the product.

How This Opportunity Is Different

Be part of a growing multi-disciplinary team developing an exciting new product used globally by leading financial institutions. You will connect the technical and business worlds through your work on a disruptive high-performance computing platform leveraging GPU technology. Experience first-hand how your valuable contributions through all stages from inception, design and development, delivery, and go-to- market turn your product into a success.

Skills and Experience That Will Lead To Success

Motivated, self-driven individual, that is not afraid to take initiative and facilitate change where necessary.
Bachelor's degree in a technical field such as Electrical/Computer Engineering or Computer Science, master’s degree a plus.
8+ years’ experience as a Software Engineer in developing and launching products, libraries and technologies within the actuarial and/or financial industries in an agile environment.
Proven experience designing and implementing complex, maintainable OOP-based architectures in Python.
Expert knowledge of python data analysis libraries (NumPy, Pandas) is a must.
Expert-level understanding of Object-Oriented Programming (OOP) concepts and principles.
Solid understanding of software engineering principles, design patterns, and version control (Git).
Experience with relational databases (e.g., PostgreSQL, MySQL).
Good knowledge of RESTful API design and implementation.
Expert knowledge of Agile methodologies and Software Development Life Cycle (SDLC).
Experience with Atlassian tools, Jira, Confluence.
Knowledge of pyspark and big data technologies a big plus.
Knowledge of parallel computing and Cuda a big plus.
Knowledge of actuarial and/or financial products and libraries such as QuantLib is a plus.