Data Analyst - Intern - Financial Crime team

Description

Part-time internship for students who work with data, Python or SQL and want to build technical skills alongside their studies. You will join the Financial Crime team, which uses data and technology to help fight money laundering and financial fraud, working with data analysts, engineers, data scientists and AML compliance experts on real client projects.

You will learn how to analyse customer and transaction data, spot patterns and turn them into useful insights. No prior experience in Financial Crime is needed. Interest in data, eagerness to learn and motivation to grow your technical skills in a working business environment matter most.

Responsibilities

• Spend about 80% of your time on client engagements.
• Assess, validate, implement and optimise systems that detect financial crime.
• Analyse data, mainly on customers and their transactions.
• Transform data and work out what it means for the business.
• Assess data quality.
• Suggest ways to improve monitoring systems.
• Communicate with clients.
• Spend about 10% of your time on the team's digital assets.
• Build data pipelines and automated controls.
• Develop new kinds of visualisations.
• Write SQL and Python code.
• Spend about 5% of your time preparing new engagement proposals.
• Spend about 5% of your time keeping up with developments in data analysis.

Requirements

• Be currently enrolled at a university, ideally in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Economics, Finance or a similar field.
• Have basic knowledge of Python and SQL.
• Be interested in working with data and understanding its business meaning, with a basic grasp of statistics and data analysis.
• Be curious and keen to learn about Financial Crime and AML.
• Have good written and spoken English.
• Previous work with Python, SQL, data visualisation or data analysis, from university projects, internships or personal projects, will help you stand out.
• Interest in banking, Financial Crime or AML will help you stand out.
• Experience with tools such as Power BI, Spark, Dask or similar is a plus.

Conditions

Part-time work, which can be combined with your studies.

You can set your working schedule flexibly.

The company is certified for Equal Pay and pays fairly with no gaps.

Equal-opportunity statement: the company values diverse backgrounds and perspectives.

Benefits

• Professional growth matched to your ambitions and pace, with experience that would otherwise take years to gain.
• A flexible benefits programme with 15,000 points to spend on what matters to you.
• One paid volunteering day per year.
• Training in business skills such as presentation, communication, assertiveness and giving feedback, plus digital skills including Alteryx, Power BI and AI.
• A buddy, regular feedback and a coach to support your development and career path.
• Well-being support and healthy lifestyle initiatives, including Dr. Digital, Human Dynamic programmes, workplace yoga and running events.
• An ultrabook and an iPhone with unlimited data.
• Social events and Away Days.