At a Glance
- Tasks: Join our Applied AI team to develop and scale machine learning models for fraud detection.
- Company: Dynamic financial institution committed to innovation and excellence.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on continuous improvement and career development.
- Why this job: Make a real impact by solving complex business problems with cutting-edge technology.
- Qualifications: Experience in Python, Data Science, and Machine Learning required.
The predicted salary is between 60000 - 80000 £ per year.
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 our 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.
Required Skills
- Demonstrable Python programming experience.
- Proven background in Data Science.
- Strong experience with Machine Learning models.
Highly Valued Skills
- Experience with Spark or distributed data processing.
- Strong stakeholder management skills.
- Familiarity with Git and project management tools (e.g. JIRA).
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.
- Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
- If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
- The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
- 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 judgments 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.
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.
Quant Analyst employer: hackajob
As a Quant Analyst at our London office, you'll be part of an innovative Applied AI team dedicated to developing cutting-edge machine learning models that drive significant business impact. We pride ourselves on fostering a collaborative work culture that values continuous improvement and professional growth, offering ample opportunities for skill enhancement and career advancement. Join us to make a meaningful contribution in a dynamic environment where your expertise will be recognised and rewarded.