Supporting portfolio optimization and analytics within the investments team.
Responsibilities:
Develop quantitative fixed income and multisector tools and frameworks and directly contribute to asset allocation decisions.
Present effective investment and correlated portfolio risks within an enterprise-wide risk and capital modelling framework
Improve and enrich the quantitative fixed income analytical tools related to asset allocation and portfolio optimization
Provide quantitative assessment of relative value investment opportunities across market sectors and major risk drivers
Support the modelling and extension of existing risk and asset allocation frameworks
Requirements:
Proven academic success with a degree in a numeric discipline such as finance, mathematics, economics, quantitative analytics, or statistics.
Exposure to fixed income products, bond math, and an interest to deepen this knowledge is required
Broad knowledge across Investment Grade, High Yield, and Alternative Investment products as well as an understanding of additional asset classes is desired. This experience may come from a combination of academic, job-related, and/or professional certifications (e.g. CFA, FRM)
Comfortable programming one or more of the following data reporting and display languages and tools is required: Python, SQL, Matlab/R, VBA, PowerBI, Tableau
For immediate consideration, please forward resume and contact details to:
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