PhD Quant Analyst, Real Estate Investment Management, London PhD Quant Analyst, Real Estate Investment  …

Millar Associates
in London, United Kingdom
Permanent, Full time
Last application, 13 May 21
£££ Excellent + Substantial Bonuses
Millar Associates
in London, United Kingdom
Permanent, Full time
Last application, 13 May 21
£££ Excellent + Substantial Bonuses
Posted by:
Craig Millar • Recruiter
Posted by:
Craig Millar
Recruiter
This leading Real Estate PE Investment Manager is seeking a Quantitative Analyst to join their team of financial analyst tasked with maintaining and expanding its diverse real estate investment platform. You would play a critical role in every financial aspect of the European real estate investment activity, focusing on industrial real estate across the UK, Germany, Poland. This is a challenging opportunity to apply your strong math modelling skills at the very frontier of quant analysis of Industrial Real Estate portfolios.

PE, Credit Default modeling, FX, Interest Rates, Swaps

KEY RESPONSIBILITIES:

  • Develop financial models to evaluate, monitor and project investment performance.
  • Facilitate the investment decision-making process and assist with ad hoc statistical analysis (e.g., regressions, attribution analysis, etc.)
  • Evaluate financial statements to quantify the probability of default and credit hedging opportunities
  • Evaluate FX and interest rate hedging (caps, swaps etc) opportunities
  • Prepare internal and external investment memoranda and other presentation materials
  • Communicate with senior management about existing and potential investment opportunities
  • Assist developing new infrastructure, methodologies, data models & libraries.

ESSENTIAL SKILLS:

  • 1-5 years’ experience post-doc in quantitative finance or quant research
  • Advanced degree (PhD preferred) in scientific discipline (e.g., mathematics, statistics, physics, Engineering, etc.)
  • Good programming skills in Python, Excel, VBA, SQL and an OO language such as C++ or C#
  • Develop math models, statistical & probability analysis, FX and interest rate hedging type issues
  • Previous Data Science, ML experience useful / essential
  • Strong written, verbal, and presentation skills
  • Sincere interest in Commercial Real Estate
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