09/06/2022 updated
AL
100 % available
Investment Risk / Quant Analyst
United Kingdom
United Kingdom
MEng / Bachelors Engineering, Cambridge UniversityJava (Programming Language)Microsoft ExcelData AnalysisC Sharp (Programming Language)Financial RiskPython (Programming Language)MATLABSQL DatabasesModel ValidationVba Programming Language
Excel, VBA, SQL, MATLAB, Python, C#, Java, Bloomberg Barclays Point, model validation, backbone, Excel / VBA, Analytics
Languages
EnglishGood
Project history
- Specified MiFID Stress Testing requirements for fund products and led the 5 person working group on incorporating the changes into the existing product governance framework.
- Was asked to consult by the MiFID Costs and Charges work stream which was having problems delivering the strategic solution within the timeframes specified by compliance. I proceeded in gathering requirements and delivering an Excel based tactical solution which became the primary solution for most of the advisory businesses. This also later became the specification for thestrategic solution that would be eventually delivered by IT.
- Internally validated and wrote the model validation documentation for all Quantitative Models owned by the Quantitative Research team including End User Developed Applications (EUDA's).
- Formulated a plan for adding alternative asset classes such as risk parity and alternative beta style and factor based investing to the Strategic Asset Allocation process.
- Was hired to implement a new risk system which ended up being bought out by a competitor. I then proceeded in enhancing the reporting provided by our existing systems without having to pay for any additional software. This also involved developing an ad-hoc stress testing framework with associated processes and work flow.
- Review the existing liquidity risk calculation methodology and proposed improvements that would make the process more robust and more automated.
- Developed tools to be used for portfolio construction, risk budgeting and to come up with beta replication or hedging strategies for various fixed income funds using derivatives. Automated production of UCITS and AIFMD reports resulting in a saving of hours of manual effort required on a regular basis.
- Gathered requirements for, documented and then built a prototype in Matlab of a stochastic forecasting model that would form the backbone of Lifeplanner ( a tool available to the on the Barclays Smart Investor Platform.)
- Was the business lead in the team responsible for delivering the final production solution of Lifeplanner. Worked very closely with IT to ensure that they understood the model and did not make any unwarranted assumptions. This close collaboration enabled us to be one of the few teams to deliver well within the timeframes we had committed to.
- Aided the rest of the Quantitative Research team in delivering their regular Strategic Asset Allocation optimisation across the full range of asset classes using Mean Variance and Black Litterman.