Job Description & Requirements:
At Barclays, you will be part of the Quantitative Analytics Credit Products Team.
The QA Credit Products team is responsible for the quantitative models and analytics used in the credit businesses across Markets and Banking and is involved in a wide range of products and activities, including corporate and emerging market bonds, single-name and index CDS, leveraged loans, hybrid capital securities, credit options, fixed income ETFs, CLOs, synthetic CDOs, CLNs, structured notes, bond financing, repos, total return swaps, CDS clearing, syndicate loan commitments, banking book loans, and quantitative strategies and risk modeling such as model based risk management, portfolio optimization, and relative value analysis.
The team works closely with the businesses to satisfy their risk management, valuation and quantitative strategy needs. It provides expect quantitative analysis and it works with the technology teams to develop and improve the trading and risk management platforms.
It is a global team located on the trading floors in London, New York and Singapore.
Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive, and creating financial and digital solutions that the world now takes for granted.
What will you be doing?/ What we’re looking for:
Overall Purpose of the Role
- To support and develop models and tools for the Asia credit trading desks.
Key Accountabilities
- Develop models and tools for the credit products trading desks
- Support QA tools used by the credit trading desks in Asia; this includes both flow and structured product trading.
- To work with a high degree of autonomy
Stakeholder Management and Leadership
- Key stakeholders are the credit trading business, the technology department, risk managers and the rest of the Quantitative Analytics group. The successful applicant should be able to clearly express complex technical issues and requirements, and work constructively with all stakeholders to progress projects.
Decision-making and Problem Solving
The role requires both evaluative judgement and analytical skills. In particular it will require:
- A methodical aptitude for problem solving
- Ability to learn quickly
- Ability to adapt to change and work in a fast changing environment
- Initiative to spot potential problems and finds innovative ways to solve them
- Ability to balance tactical and strategic solutions in line with the overall needs of the bank
Risk and Control Objective
- Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.
Person Specification
- PhD or Masters in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science or similar quantitative field
- Experience in a credit or rates quant role at a major investment bank or hedge fund.
Essential Skills/Basic Qualifications:
- Experience developing models and tools for pricing, analysis, and risk management of flow or structured credit products
- Good written and verbal communication in English
- Experience implementing models in C++/C#/Python in a shared codebase with multiple developers
Desirable skills/Preferred Qualifications:
- Detailed knowledge of credit and rates flow products (both cash and derivatives) and how they trade.
- Current hands on programming in Python/C#.
Where will you be working?
Our office is located in Marina Bay Financial Centre, which has been carefully crafted into a “city in a garden”. Overlooking the scenic skyline along the Marina Bay waterfront, the green spaces and rooftop terraces have been designed to optimise employee well-being. The centre provides an integrated live-work-play development, surrounded by shops, restaurants, gyms and an alfresco dining area. Our convenient office location means you’re just a 5-minute walk from the nearest MRT station.
