New York

As a Barclays Central Risk Developer, you will be in charge of the building technology for Central Risk Desk. Central risk desk essentially consists of quantitative traders, who builds machine learning models to trade in real-time to manage the portfolio risk. As part of the technology team, you will need to build data-pipelines from different vendors like Exegy/Reuters/Markit etc. across different asset classes like Options/Futures/Single Stocks and this feeds into real-time and research environment for the quants.

Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality, and innovation behind us. We've helped millions of individuals and businesses thrive, creating financial and digital solutions that the world now takes for granted. An important and growing presence in the USA, we offer careers providing endless opportunity.

Salary / Rate Minimum: $70,000

Salary / Rate Maximum: $90,000

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.

Working Flexibly

We’re 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 for all 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 you’re a carer, or whether you need study time 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 business needs.

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. We’re flexible on how this works 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 may choose 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 are able to 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?

Working on several key systems in Barclays central risk platform, implementing business features and technical improvements to meet tight performance requirements
Learning business behind Global cash equities trading, risk management and regulations applied on this business with deep Java technical aspects
Engaging with business analysts, testing teams and developers of other parts of trading platform on local and global scale
Following well-organized and tight development process following agile/scrum and test-driven development principals
Using fully-integrated dev toolset from Attlassian such as Jira, Confluence and Bitbucket, TeamCity as continuous integration tool
Helping application support teams to investigate production issues and do improvements to make the platform stable, maintainable, and resilient

What We’re Looking For

Bachelor’s or Master’s degree in Computer Science or Electronics/Electrical engineering from reputed College/University
Relevant Coursework credits for Data Structures and Algorithms
Passion for coding and good proficiency one or more languages
Ability to work in a team

Skills That Will Help You In The Role

Open mind-set and keen to learn, we are willing to teach you everything
Knowledge of Java or Scala
Experience with dependency injections frameworks, ideally: Spring, Guice, HK2
Familiarity with Agile methodology