Job Description

• 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: info@ashtonlanegroup.com
   
  Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit
   
  Ashton Lane Group® “A trusted advisor throughout your career”
   

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