Quantitative Credit Researcher and Portfolio Strategist
7 days ago
We are seeking a skilled Quantitative Credit Researcher and Portfolio Strategist to join our dynamic Public Markets Portfolio Implementation Team. This is an exciting opportunity for someone with a passion for problem-solving and creating innovative solutions to drive process innovation in the fixed income investment management team.
In this role, you will help us generate alpha through data-driven insights and the application of machine learning techniques. You will bring your curiosity to test and develop quantitative insight, and software engineering skills to build the next generation of portfolio construct and alpha-generating tools.
You will own the modelling and optimisation processes used to drive our IG and HY investment processes. Working within a diverse team, you will collaborate with talented individuals on a range of areas of interest across the Public Markets Implementation team.
To succeed in this role, you will need:
- Experience in applying quantitative methods in investing and proficient handling large financial datasets in a quant, portfolio management, data-science, or software engineering role.
- Strong coding skills in Python, with ability to effectively translate real-world modelling problems into code and practical tools. Familiarity with SQL and expertise in machine learning are plus.
- Deep understanding of credit markets and proficiency in conducting fundamental credit analyses, evaluating credit spreads and yield curves to inform investment decisions.
- Expertise in mathematical linear and nonlinear optimisation methods.
- Outstanding analytical skills, both quantitative and qualitative.
This is a great opportunity for someone looking to grow their career in a dynamic and expanding team. In return, we offer a generous pension scheme, eligibility for annual performance bonus, family friendly parental and carer's leave, and up to 40% discount for Aviva products.
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