Quantitative Valuations Executive

Role Overview: • Develop valuation models for complex financial assets, including derivatives and structured products. • Handle instruments that are difficult to value due to illiquidity or a lack of observable market data inputs. • You'll be involved in a range of valuation and advisory engagements relating to financial products (derivatives and cash based) across all asset classes that will include both contentious and non-contentious matters. Such engagements will also include risk related matters such as the modelling of default risk. You will also be involved in other forms of quantitative / statistical advisory projects. Key Responsibilities: • Write clear papers detailing modelling approaches and valuation techniques. • Ensure compliance with risk management and client procedures. • Manage valuation projects from start to finish. • Deliver accessible valuation models and reports for non-technical readers. • Communicate effectively with clients, managing expectations and relationships. • Participate in client calls and discussions. • Provide intellectual input and challenge on complex projects. • Conduct technical research and share findings with the team. • Prepare reports for clients or legal/regulatory use. • Deliver excellent client service and build professional contacts. You'll be someone with: • A master’s degree in Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. • Strong professional interest in the fields of finance and financial instrument valuation, hedging and structuring. • Intellectual curiosity and an analytical mind-set. • An interest in applying tools from finance, mathematics and data science to provide pragmatic and robust solutions to real-world problems. • Some knowledge of the valuation of financial products gained either from university courses, experience in a bank/consultancy or self-study initiatives. • Good knowledge of mathematics as applied to finance and financial product valuation. • Some programming skills in a high-level language (e.g. Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g. STATA, SAS). • Strong business writing, analytical and modelling skills. • Effective written and oral communication skills.