Senior Team Manager- Credit Risk Data Analytics
It is recognized that the size and complexity of Shell Trading & Supply (T&S) has increased substantially over the past few years and the expectations around risk management from a regulatory perspective have also shifted for Energy Trading. As a result, and also recognising the potential to unlock additional value from enhanced risk management of our trading activities, a strategic decision has been made to make a major investment over the next 3-4 years to strengthen the risk management capabilities of the organisation from a people, process, data and systems perspective in both the first and second lines of defence.
The Credit Data Analytics team within Credit focuses on the delivery of regular and ad hoc credit risk reporting and portfolio analytics to the commercial teams, the risk management teams and various other stakeholders such as the TSLT, EC and the production of risk information which will flow into external financial reporting.
This role relates to Trading & Supply division (T&S). Primary stakeholders are commercial teams, credit risk managers located in T&S hubs of London, Houston, Rotterdam, Dubai and Singapore. The role is focused on providing support for credit reporting and analytics activities globally.
Principal Accountabilities:
- The candidate will be responsible to lead and manage a high performing team that supports the development and operations of global credit risk reporting activities within T&S, including working with IT and other organisations to resolve issues where they arise.
- Develop and conduct credit risk analytics on both a pre- and post-deal basis; including, but not limited to, Potential Future Exposure (PFE), portfolio analytics, expected credit loss (ECL), credit value adjustment (CVA), credit reserves and cost of credit analysis.
- Combine business understanding with logical data modelling and process design skills to integrate new T&S businesses and enhanced activities into global operations.
- Ensure reporting and analytical tools have clear and appropriate documentation and controls.
- Develop and enhance appropriate data visualisations to support the use of credit reporting and analytics e.g. Spotfire, Power BI and/or other visualisation tools.
- Understand the key ETRMs of T&S, with in-depth knowledge of how systems in their region interact with Risk systems and tools.
- Train users on how to conduct analysis in tools developed and supported by Risk.
- Provide support and direction to Risk colleagues.
- Collaborate with and support Commercial Credit Market Risk Valuation teams with production reporting, transformation projects and other ad-hoc requests.
Technical/Experience Requirements for the role:
- 2-5 yrs of team management will be required for this role and a min. of 8 years of professional experience on the following requirements below:
- Commodities Trading Risk Management
- Credit Risk Managment- Strong knowledge of Credit Risk fundamentals required and a desire to develop knowledge in other risk areas, such as Market or Operational Risk, preferred.
- Credit Risk concepts - ECL (Expected credit loss), Net Credit Exposure, PFE (Potential Future Exposure), Credit Reserves
- Technical Skills - SQL Server, BI tools like PBI or Tableau
- Experience with advanced Excel, SQL, Alteryx and/or database knowledge desirable.
- Experience in data visualisation Power BI, Spotfire, QlikSense or other, preferred.
- Finance or Mathematics Degree preferred
- CFA or GARP certificates preferred
- Prior risk experience within commodity markets , such as LNG, Oil, Gas, Power and/or Carbon preferred.
- Exposure to the types of conceptual, quantitative and data challenges faced in a complex trading environment with multiple ETRMs and sources of data is preferred.
- Excellent attention to detail, methodical, organized and able to plan to meet deadlines.
- Resilient when working under pressure, with the ability to prioritise tasks to meet deadlines
- Self-starter, highly motivated,outcome driven.
- Good judgement to provide advice, question discrepancies, escalate issues.
- Learner mindset: innovative and creative, excellent problem-solving capabilities including the ability to analyse, model and interpret data.
- Strong interpersonal and team working skills in order to communicate with various different stakeholders across Risk, IT and Commercial, all with varying needs.
