Financial Risk Model Developer

4 weeks ago

London, Greater London, United Kingdom Legal & General Full time

About Legal & General Retirement Institutional (LGRI)

At LGRI, we are dedicated to helping businesses secure pensions for their employees in the long term. We assist companies in managing their pension liabilities, allowing them to focus on growth while ensuring financial security for members in retirement. As a leading bulk annuity provider in the UK, we have a strong track record of success.

Your Role: Financial Risk Model Developer

We are seeking a talented Python Developer to join our Financial Modelling & Development team. You will play a vital role in developing and maintaining financial risk models, regulatory requirements, asset, and liability management solutions. Your primary focus will be on delivering high-quality, robust, and adaptable software solutions that meet the evolving needs of our business.

Responsibilities:

  • Develop and maintain financial risk management software using Python and C++, encompassing regulatory, asset, and liability model requirements.
  • Collaborate with diverse teams to implement cutting-edge financial risk management projects.
  • Design data APIs, models, and tools to enhance risk management processes.
  • Conduct thorough testing of development changes and update documentation accordingly.
  • Develop data models using big data libraries and support model and data queries.
  • Provide assistance to business teams with ad-hoc requests related to models and data.

Qualifications:

  • Strong understanding of financial risk management principles and asset modelling techniques.
  • Experience in the software development lifecycle and familiarity with Agile methodologies.
  • Proficiency in software design patterns, algorithms, and testing practices.
  • Practical experience with unit testing, DevOps, and cloud computing technologies.
  • Familiarity with source control systems and numerical libraries in Python.
  • Hands-on experience with programming languages such as Python, C++, R, C#, and Java.
  • Excellent problem-solving skills and a grasp of financial risk modelling concepts.
  • Experience with Unix/Windows commands and an interest in Data Science and cloud technology.

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