Structured products and strategies Quantitative Analyst

Job Description

As a Barclays Structured products and strategies QA youll be dedicated to the support of Equity Hybrid & Structured Products business and the Quantitative Indices & Strategies business. In your role youll work with Trading, Structuring, Sales, and ITteams and with other quantitative teams to ensure consistency of deliveries. The team is part of the Global Quantitative Analytics group and is responsible for research, development, & implementation of quantitative models for the structured products, quantitativeindex, & strategies business. Barclays is one of the worlds 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 creatingfinancial and digital solutions that the world now takes for granted. Working FlexiblyWere committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognizes and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity forall our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers and clients needs. Whether you have family commitments or youre a career, or whether you need studytime or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life. If you would like some flexibility, then please discuss this with the hiring manager, and your request will be reviewed subject to businessneeds. We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. Were flexible on how thisworks and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month, or a quarter. However, some colleagues maychoose to spend more time in the office over a typical period than their role type requires. We also have a flexible working process where, subject to business needs, all colleagues globally can request work patterns to reflect their personal circumstances.Please discuss the detail of the working pattern options for the role with the hiring manager. What will you be doing Researching, Implementation, Prototype & Documentation of pricing models across various asset classes (Equity, Credit, Commodities, and Interest Rate) Liaising with Front Office and Technology, to deploy new and strategic pricing risk library to production Providing quantitative strategies front office desks with pricing tools and liaise with IT & Control Functions to ensure understanding of the tools going into production Designing, development and maintenance of new models and infrastructure components Defining models & numerical methods to be studied to improve pricing & hedging of structured and cross-asset products Ensuring consistency with all developments made by other QA Markets & Central Teams Developing and leading the quantitative research framework using C++, Python, and other in-house domain specific languages Managing IT integration into strategic platform What were looking for: Masters or PhD in Mathematics/Computer Science or related field Mathematically minded (financial mathematic, ability to program numerical algorithms in C++): Doctorate, DEA, or equivalent degree in mathematical finance Good Python programming skills Theoretical knowledge of financial engineering/structuring and financial product development Skills that will help you in the role: Cross-Asset knowledge (Equity, Credit, Rate & Commodity assets) Previous experience in the quantitative investment & strategies or structured products area Experience with Python libraries for numerical analysis (Panda, NumPy, etc.) Significant Experience with statistics and machine learning techniques Where will you be workingIn the heart of Canary Wharf, our headquarters at Churchill Place boasts onsite amenities such as; a gym, staff restaurant and deli bar, and is easily accessible by tube and bus links. With a population of around 5000 staff the atmosphere is second to nonewith a real buzz being created around the offices within.