Assitant Manager Fraud Analytics

Job Description

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Accountabilities

• •Identification, collection, extraction of data from various sources, including internal and external sources.
• •Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• •Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• •Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• •Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• •Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

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.
• •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.
• •OR 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.

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.

Step into the role of Assistant Manager Fraud Analytics at Barclays, where you'll play a pivotal role in shaping the future. In this role, you will be responsible for implementing data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

You may be assessed on key critical skills relevant for success in role such as:

You may be assessed on key critical skills relevant for success in role such as:

• •Expertise in SQL, SAS, Data Analytics and Reporting.
• •Excellent communication and interpersonal skills to effectively communicate with stakeholders, build relationships, and present findings.
• •Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment.
• •Proficiency in designing and building data pipelines to automate data movement and processing.
• •Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification

Desirable skill set:

• •Effective communication and presentation skills.
• •Experience in Data Privacy, Governance, Reporting and Risk Management preferably in a financial services organisation.
• •Proficient in MS Office – PPT, Excel, Word & Visio. Preferred – Dashboard visualisation, Tableau/ Power BI.
• •Comprehensive understanding of Risk, Governance and Control Frameworks and Processes.
• •Understanding of Data Privacy Policies and Standards.
• •Ability to analyse, interpret and work robustly with others to identify issues and develop proposed solutions.

You may be assessed on key essential skills relevant for success in role, such as learning and development, leadership and people management, risk and controls, change and transformation, stakeholder management, business acumen, strategic thinking, and data-driven decision making, as well as job-specific technical skills.

This role is based out of Gurugram