Python Job: Software Developer

A propos de Talan

The mission of RISK is to provide Senior Management of the Group and of the Operating Divisions, with full transparency and dynamic analysis of the risk and clients managed by Corporate and Investment Banking (CIB) and Investment Solutions (IS) business units, as per the scope detailed below.

The scope of RISK is:

• On Market and Liquidity risks: it is Group-wide. RISK comprehensively covers the CIB capital markets activities, ALM Treasury as well as the IS Business Units,
• On Counterparty risk: it is Group-wide. RISK covers all counterparty risks arising from derivative and repo transactions,
• On Credit risk: credit analysis and approval for all Financial Institutions (including Funds and SPVs), Sovereigns, Wealth Management clients and other IS private clients,
• On Insurance risk: risks generated by Insurance activities,
• Depending on mandates given, RISK also assumes, directly or indirectly, responsibilities on the above risk categories in specific areas of the Retail Business Units.

RISK contributes to the definition of the Group’s risk appetite, its risk decision making process and the optimization of capital allocation to support the development of the Operating Divisions.

The RISK ERA Systems team is part of RISK. Its mission consists in providing the Bank with a comprehensive capital markets risk system used to calculate market and counterparty risk capital figures using advanced methods and to support the needs of users for risk analysis, risk reporting and the credit process.

In this context, the Data Services team is responsible for the Data Integration chain which captures all of data from the front office and referential systems, transforms this data using python and captures it in the data warehouse. This data is then used by the Calculation teams to generate risks, the results of which are also processed in the Data Integration pipeline. The team is based in London with a small sub team in Mumbai. The team is working in AGILE mode – and more precisely following the SAFe methodology.

1. Purpose of Job:

We are looking for a Python Developer responsible for construction of application components and scripting to manage the transformation of data between upstream and the Risk System data warehouse. A broad understanding of financial products across all asset classes would be highly beneficial. Your primary focus will be the development of all server-side logic, ensuring high performance and efficient interaction with the data warehouse and the calculation services. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential. A competent level of understanding of SQL and database technologies is necessary as well.

2. Main Tasks and Responsibilities:

The successful candidate will be expected to fulfil the role of a Data Services Python developer as follows:

• Be part of a dynamic, agile team that as custodian of the Risk data Team is at the heart of all that the Risk Systems department achieves on a daily basis.
• Design, build, and maintain efficient, reusable, and reliable Python code
• Rapidly prototyping solutions to quickly prove/disprove new concepts
• Design and implementation of low-latency, high-availability, and performant applications
• Work directly with Risk analysts and Product owners to turn functional requirements into efficient and maintainable code
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and automation
• Integration with a variety of data storage solutions

• Able to incrementally deliver server side applications to meet dynamic customer requirements
• Proficient in Python, with a good knowledge of its ecosystem
• Solid understanding of object-oriented programming and functional programming paradigms
• Familiar with Python application design and architectural patterns
• Demonstrable ability to write clean and readable code
• Experience with SQL and any industry standard relational database.
• Understanding fundamental design principles behind a scalable application
• Creating data schemas that represent and support business processes
• Unit test and debugging skills are welcome