FO Quant Analyst – Credit Products (Global Markets)

at  Barclay Simpson

FO QUANT ANALYST – CREDIT PRODUCTS (GLOBAL MARKETS)

• London
• £130k-£140k
• Job type: Permanent
• Sector: Financial Services, Banking, Asset Management & Funds
• Job reference: TG41417
  An exciting opportunity for an experienced front office Quant Analyst to join one of the biggest Investment Banks within their Global Markets Front Office quant teams.
  Gain exposure while working closely with the IT and Front office trading teams in providing performance management and solutions for creating/improving pricing algorithms for their new e-trading systems.
  The role pays within a range of £130k to £140k. Hybrid working arrangements with 2 or 3 days required in the London office.

Responsibilities:

• Design, develop, test, and document models with a focus on Credit Products.
• Develop technical solutions as required to support users.
• Create Quantitative tooling necessary to bolster the platform.
• Analyze and provide support for any issues identified in the models.
• Engage in day-to-day interactions with the trading desk, other quants, Risk and Finance departments, and technology teams.

REQUIREMENTS:

• Knowledge of credit products are preferred – CDS, TRS, Corporate Bonds, Bonds with Optionality, CDS Index Options. Candidates with Rates experience will also be considered.
• 3-8 years working as a Quantitative Analyst developing models in quantitative finance.
• A degree in mathematical finance, science or maths from a top tier university.
• C++ experience (preferably using Visual Studio), with some knowledge of modern C++ (at least C++11).
• Python coding, writing technical documentation combined with strong communication skills and the ability to converse with senior stakeholders from a non-technical aspect.
  To discuss further please submit your CV to tg@barclaysimpson.com

• Design, develop, test, and document models with a focus on Credit Products.
• Develop technical solutions as required to support users.
• Create Quantitative tooling necessary to bolster the platform.
• Analyze and provide support for any issues identified in the models.
• Engage in day-to-day interactions with the trading desk, other quants, Risk and Finance departments, and technology teams