Director, Fixed Income ETF Quant

About Barclays

Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.

We are an equal opportunity employer and we are opposed to discrimination on any grounds.

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It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law.

Dynamic working gives everyone at Barclays the opportunity to integrate professional and personal lives, if you have a need for flexibility then please discuss this with the hiring manager.

About Credit Products Quantitative Analytics

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.

Overall purpose of role

Leading the quantitative desk strategy and modeling for bond portfolio and fixed income ETF trading and risk management.

Key Accountabilities

·Quantitative Analytics lead for building and supporting our fixed income ETF platform in collaboration with trading, technology, risk management and other functions across the bank.

·Highly effective at scoping, leading and completing new projects where requirements are not yet fully understood or articulated clearly.

·Demonstrating leadership bringing people of diverse skills, experience and responsibilities from multiple different teams together to deliver industry leading solutions.

·Supporting day-to-day activities across the credit flow trading desks in collaboration with the larger credit quant team.

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

·At least 8 years of experience in a credit quant role at a major investment bank

Essential Skills/Basic Qualifications:

·Experience developing models and tools for pricing, analysis, and risk management of credit flow products.

·Excellent written and verbal communication in English.

·Experience supporting fixed income ETF trading including portfolio level risk management and the create and redeem process.

·Experience managing and training AVP and VP level team members.

·Experience implementing models and analytics in a shared codebase with multiple developers.

Desirable skills/Preferred Qualifications:

·Experience building and supporting a highly automated ETF trading platform.

·Detailed knowledge of credit and rates flow products (both cash and derivatives) and how they trade.

·Currently hands on programming in C++ and Python.

Purpose and Values

Barclays has a single cross-business Purpose for Barclays and five core Values which underpin it.

Our Purpose is to create opportunities for people to rise- customers, clients, colleagues and society. Put simply this is the answer to the question ‘What is Barclays for?’ and it should guide our every action as employees.

Respect

We respect and value those we work with, and the contribution that they make.

Integrity

We act fairly, ethically and openly in all we do.

Service

We put our clients and customers at the centre of what we do.

Excellence

We use our energy, skills and resources to deliver the best, sustainable results.

Stewardship

We are passionate about leaving things better than we found them.

Salary Rate / Minimum: $200,000

Salary Rate / Maximum: $260,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not
include any another type of compensation or benefits that may be available.

USD 200000 to 260000