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Quant analyst

London
Barclays
Quant analyst
€60,000 a year
Posted: 17 June
The role

We’re looking for a Quant Analyst to join an expanding Applied AI team, focused on building and scaling internal machine learning models. This role will play a key part in developing sophisticated fraud detection capabilities and supporting the rebuild of internal models, driving real business impact across the organisation.

You’ll work at the intersection of data science, model development, and governance, partnering closely with a range of stakeholders to ensure models are robust, scalable, and aligned to business needs.

To be successful as a Quant Analyst, you should have:

  • Demonstrable Python programming experience.
  • Proven background in Data Science.
  • Strong experience with Machine Learning models.

Some other highly valued skills may include:

  • Experience with Spark or distributed data processing.
  • Strong stakeholder management skills.
  • Familiarity with Git and project management tools (e.g. JIRA).

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.

This role is based in London.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision‑making.

Accountabilities

  • Design analytics and modelling solutions to complex business problems using domain expertise.
  • Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
  • Develop high‑performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
  • Implement analytics and models in accurate, stable, well‑tested software and work with technology to operationalise them.
  • Provide ongoing support for the continued effectiveness of analytics and modelling solutions to users.
  • Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
  • Ensure all development activities are undertaken within the defined control environment.

Analyst Expectations

  • To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
  • Requires in‑depth technical knowledge and experience in their assigned area of expertise.
  • Thorough understanding of the underlying principles and concepts within the area of expertise.
  • They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
  • For an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
  • Will have an impact on the work of related teams within the area.
  • Partner with other functions and business areas.
  • Takes responsibility for end results of a team’s operational processing and activities.
  • Escalate breaches of policies / procedure appropriately.
  • Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
  • Advise and influence decision making within own area of expertise.
  • Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to; deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
  • Maintain and continually build an understanding of how own sub‑function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
  • Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub‑function.
  • Make evaluative judgements based on the analysis of factual information, paying attention to detail.
  • Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
  • Guide and persuade team members and communicate complex / sensitive information.
  • Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.
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