PHD PROGRAMME 2018 OPPORTUNITIES

Transcription

1 ENTRY REQUIREMENTS To apply you must have recently completed (or be close to completion of) a PhD (or equivalent) in a highly quantitative subject such as mathematics, physics, statistics, engineering or chemistry. Knowledge of stochastic calculus, machine learning or statistics, and experience in a programming language, would be highly valued. In addition, we are looking for individuals who demonstrate a positive attitude and good team-working skills, and possess a strong desire to learn, adapt and succeed. SCROLL DOWN TO VIEW THE OPPORTUNITIES

2 Commercial Banking Markets Quantitative Research By joining the Front Office Quantitative Research team, you will be focusing on the research and development of cutting-edge quantitative models for voice and electronic pricing, market making, hedging, risk management and capital management. You will be working on the full life-cycle of model development, from research and development (mainly in C++, C# or python) to testing and integration within production systems. The work environment is highly dynamic and the team has continuous interaction with Trading, Risk, Model Validation and IT. The team covers pricing and risk management models across assets, including rates, FX, commodities and equities, as well as XVA, relative value and client advisory models. Machine learning and data science models are also covered for electronic trading, trade surveillance and data analysis. Commercial Banking Risk Market Risk Measurement & Modelling By joining the Market Risk Measurement & Modelling team, you will be involved in the development and maintenance of market risk models for the trading book within Commercial Banking, including Value at Risk (VaR). You will also develop prototypes for implementation and liaise with the relevant Risk functions for approval of such methodologies, with a focus on the Fundamental Review of the Trading Book (FRTB). The team covers market risk models across assets, including rates, FX, commodities and equities.

3 Commercial Banking Risk - Pricing Model Validation By joining the Pricing and Model Validation team you will be involved in the independent validation of the Front Office pricing tools and valuation models including those used for client valuation and advisory. This will require development and maintenance of benchmark and alternative models for the Trading and Banking Book within Commercial Banking, and Group Corporate Treasury. You will also develop independent prototypes for implementation to measure the model risk and model performance and liaise with the relevant stakeholders - Trading, Quants, IT, Risk functions, and Finance. The team covers the validation models across all assets, including rates, FX, commodities and equities, as well as XVA and electronic trading. Commercial Banking Risk Counterparty Credit Risk Modelling By joining the Counterparty Credit Risk Modelling (CCRM) team you will be involved in the independent validation of the Front Office models that are used for the calculation of XVA (CVA, FVA, FVA) and additional regulatory charges such as KVA (Capital Valuation Adjustment) and MVA (Margin Valuation Adjustment). You will also work on the development of machine learning techniques to validate model input data and monitor model performance. The team covers the validation of counterparty credit risk models in relation to XVA and associated regulatory requirements.

4 Commercial Banking Client Asset Management - Portfolio Analytics By joining the Portfolio Analytics Team you will be focusing on developing methodologies, data and tools used in Commercial Banking to measure business performance, to evaluate client relationships and to optimise portfolio efficiency. This includes a holistic and granular return on capital assessment and tools that help identify ways to strengthen client relationships. The work environment is very dynamic and engages with a very wide range of stakeholders across Commercial Banking and comprises specialists in data infrastructure and reporting solutions, quantitative analysts, data analysts and financial analysts. The team works with a range of tools and programming languages, including Matlab, C#,.net (quants), Microsoft BI stack (SSIS / RDMS / SSAS / SSIS / SharePoint / Power BI), and Teradata, Tableau (Insights). The four main areas covered by the team are Credit Portfolio modelling, pricing and Economic Value, Performance Data & Management Information and Client Needs Analytics. Group Financial Risk - Market Risk Model Review By joining the Market Risk Model Review team you will be providing effective, robust and independent oversight of, and challenge and support to, a suite of market risk, credit portfolio, longevity and ALM models. The team works in a highly stimulating environment and engages in robust and professional working relationships with key stakeholders in business units and Group Audit. The team covers Value at Risk, Potential Future Exposure, portfolio, pension and Asset Liability models.

5 Commercial Banking Markets Financial Risk Advisory By joining the Financial Risk Advisory (FRA) team you will help build the models and analytics that will be used to pitch financial risk solutions to our clients. The scope of FRA s engagements spans from market, event or sector driven thematic pieces to highly customized portfolio and business analyses. The team helps companies (FTSE listed, Mid-market and SME) and portfolio managers (financial institutions) to better appreciate the impact of financial markets on their performance, to establish risk tolerance and to design optimal hedging strategies. The ultimate goal is to deliver solid, non-biased risk focused solutions and to help gain the trusted risk management partner status with customers.