Senior R&D Software and Data Engineer

Posted 9 Hours Ago
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Knutsford, Cheshire, England
5-7 Years Experience
Fintech • Financial Services
The Role
As a Senior R&D Software and Data Engineer, you will build and maintain systems for data collection, storage, processing, and analysis. Responsibilities include designing data pipelines, developing algorithms, collaborating with data scientists, and managing risks related to data governance and security within the financial services sector.
Summary Generated by Built In

Job Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes.
  • Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join Barclays as a Senior R&D Software and Data Engineer where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. In this role, you will be an integral part of our Cyber Fraud Fusion Centre, delivering scalable CFFC services to disrupt and prevent upstream economic crime.

To be successful as a Senior R&D Software and Data Engineer, you will need the following: 

  • Experience working within Financial Service teams responsible for cyber fraud, financial crime, or security (web/app).
  • Experience with industry fraud and security signals, including any such as digital identity, device, voice, biometrics, and behavioural profiling technologies.
  • Knowledge of malicious attack vectors used by cyber fraud adversaries to target the financial sector including but not limited to Device Spoofing, Location Manipulation, Identity Fraud, Account Takeover and False documentation.
  • Development experience and/or experience using analytical tools: Python, PHP, JavaScript, Java, Relational databases (Postgres, MS SQL, Oracle, MySQL, etc.), SAS PROC SQL, Hue Database Assistant, Teradata, and non-rational Hadoop.

Some other highly valued skills may include: 

  • Experience working within Financial Service teams responsible for cyber fraud, financial crime, or security (web/app). Advanced knowledge of malicious attack vectors used by cyber fraud adversaries.
  • Knowledge of Enterprise security frameworks such as NIST Cybersecurity Framework and Cyber-attack phases.
  • Previous advanced experience using analytical tools and platforms such as SQL/SAS/Hue/Hive Basic, Quantexa, Elastic Search, SAS and MI tools like Tableau and Power BI.
  • Technical experience or advanced knowledge of computing, computer science and networks.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

The successful candidate can either be based in Knutsford or Northampton.

Top Skills

Java
JavaScript
PHP
Python
The Company
HQ: London
83,500 Employees
On-site Workplace

What We Do

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.

With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests and protects money for customers and clients worldwide.

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