The Financial Engineering group is part of our Bloomberg Core OTC Derivatives/Structured Notes Product group. You will be joining a rapidly expanding specialized area of Bloomberg concentrating on offering premium structuring, valuation and risk services to our clients and one that provides cross asset flexible, customizable tools and models that illustrate valuation transparency to our clients.
Your familiarity with bespoke derivatives term sheets, and the industry standard valuation models and "street practices" used for security valuation and portfolio risk analysis will allow you to successfully contribute to the team. Valuation will rely heavily on the appropriate choice and use of pricing models (combined with appropriate adjustments when necessary). Understanding and intuitive skills to assess if model results are reasonable is essential.
What’s the role?
As a member of the Financial Engineer team you will engage in a "client facing" role requiring you to have strong communication skills. Additionally, you will be working with various people from external clients (traders, sales, buy side, institutional investors), and internal sales specialists, to developers and quants.
You'll need to have:
- Master's degree in a technical area (such as Math, Physics or Engineering), quantitativefinance field required. PhD in mathematical finance a plus.
- 5 + years of experience at a Dealer (or at other top financial institutions) in financial engineering, structuring, and/or trading OTC Derivatives/Structured Notes.
- Cross asset derivatives and market riskexperience.
- Strong understanding of derivatives models including market conventions, vanilla/exotic options, and market practices regarding bespoke exotic valuation and hedging.
- Excellent written and verbal communication skills.
- Ability to articulate clearly in group presentations and in interactions with clients, via phone or face-to-face.
- Ability to work in a fast-paced, complex and cross-asset environment.
- Ability to work with multiple groups across reporting lines.
We'd love to see:
- Experience using Bloomberg, and other derivative pricing platforms
- Familiarity with financial libraries (C, C++) and mathematical packages such as Matlab or Mathematica