Step into the role of Data Scientist within Financial Crime Operations, focusing on data analysis, insight generation, and model‑driven decision support across payment screening and sanctions processes. The role involves daily analysis of large‑scale transactional datasets, validation of data quality, identification of trends and outliers, and development of analytical outputs to support operational efficiency and risk mitigation. You will contribute to daily, weekly, and ad‑hoc analytics. The role also supports automation, MI reporting, and machine‑learning initiatives, working closely with operations, controls, and senior stakeholders to translate data into actionable insights.
You may be assessed on key critical skills relevant for success in role such as:
Write high-quality code in Python and SQL to extract, transform and analyze
Visualize various types of data using Power BI & Tableau, constructing robust pipelines to combine multiple source.
Create, build and maintain analytical tools through programming to generate insight, recognize patterns and predict behavior.
Experiment and identify with various analytical methods\techniques best suited to data challenges.
Respond to ad-hoc requests and communicate the results of any analysis, trends, and MI to a range of audiences whilst effectively managing your workload.
Have an active interest in all aspects of technological infrastructure - suggesting and helping to deliver concepts for more efficient processing across multiple technical disciplines.
Develop an understanding of Financial Crime preventative measures, systems, and operational processes within Barclays.
Support the delivery of automation initiatives in-line with the wider Group strategy.
Desirable skills sets:
Knowledge or Experience of Financial Crime Operations domain
Working knowledge/Understanding of End-to-End payment flows
Detail oriented with strong ownership of daily deliverables.
Ability to manage tight deadlines with accuracy.
Strong communication and coordination skills.
You may be assessed on key essential skills relevant to succeed in role, such as risk and control, change and transformation, business acumen, strategic thinking and digital technology, as well as job-specific technical skills.
This role is based out of Pune.
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.
