Quantitative Trading & Research - Credit - Treasury CIO - Associate

The Credit Quantitative Research team is looking for an entry level or junior quant to join in a role which will focus on covering the Treasury CIO Business

This role will be focusing on the Credit needs, and thus it will be within the broader Credit QR team which is responsible for developing and maintaining models for valuation, risk, PL calculations, as well as any analytics for the Credit and Public Finance business. The responsibilities of the team span the full range from new model specification, going through model approval, ensuring compliance with internal policies and industry regulations, implementation of model in library, to integration into risk and PL systems.

Job Summary:

As an Analyst or Associate on the Quantitative Trading & Research Team, you will be covering the credit products in the scope of the Treasury & CIO business unit, delivering analytics and ensuring that the QR team is providing any quantitative support required.

The role will be operating in a very dynamic environment which can be occasionally undergo some pressure due to situations developing in the market. This role is also expected to interact with other sub-teams within Credit QR, as well as the rest of the Treasury and CIO business hence a team player attitude is an absolute must. Excellent oral communication skills are required in our interaction with trading, technology, and control functions.

Job Responsibilities:

• Ensure that the team has the best-in-class analytics in order to effectively risk manage the substantial holdings within their business unit..

• Ensure that all the ideas are documented, and either directly implement the solutions we propose or liaise with the broader team in order to achieve this.

• Identifying areas where we can positively contribute by streamlining and increase the quality of the analytics that support their decision-making process.

• Working with model control teams to facilitate timely and efficient review and approval of models

• Excellent written communication skills are also required for meeting the high standards of the model documentation.

• A strong interest in good software design principles is a requirement as well.

Required qualifications, capabilities, and skills:

• An advanced degree in math, statistics, physics, financial engineering, computer science or equivalent subject

• Exceptional analytical, quantitative and problem-solving skills

• Strong software design and data science skills, preferably with Python knowledge and experience

• Pro-active attitude: should have a natural interest to learn about our business, models, and infrastructure

• Ability to work in a high-pressure environment