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Employment type in the employer’s posting: Part timeFrom the employer’s posting
Job title: Data Analyst - Intern - Financial Crime team
Analyse customer and transaction data to spot patterns
Assess, validate and optimise financial crime detection systems
Assess data quality and suggest monitoring improvements
Create data pipelines, automated controls and visualisations
Prepare new engagement proposals
Analysing data mainly about customers and their transactions
Assessing, validating, implementing and optimising systems for detecting financial crime
Assessment of data quality
Creating data pipelines an automated controls
Preparing new engagement proposals
You are currently studying at university, ideally Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Economics, Finance or a similar field
Basic knowledge of Python and SQL
basic understanding of statistics and data analysis
Good written and spoken English
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Day 15
Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
27 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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About the team Interested in data, Python or SQL and looking for a part-time opportunity alongside your studies? Join our Financial Crime team and discover how data and technology can help fight money laundering and financial fraud. You will work alongside experienced Data Analysts, Engineers, Scientists and AML Compliance Experts on real client projects. You’ll learn how to analyse customer and transaction data, understand patterns and turn data into meaningful insights. Previous experience in Financial Crime is not necessary. What matters most is your interest in data, willingness to learn and motivation to develop your technical skills in a real business environment. Job description & summary
- Development of new forms of visualisations - Programming in SQL and Python 5% Preparing new engagement proposals
- You are currently studying at university, ideally Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Economics, Finance or a similar field - Basic knowledge of Python and SQL - Interest in working with data and understanding its business meaning and basic understanding of statistics and data analysis
What will help you stand out - Previous experience with Python, SQL, data visualisation or data analysis through university projects, internships or your own projects - Interest in Banking, Financial Crime or AML
- Interest in Banking, Financial Crime or AML - Experience with tools such as Power BI, Spark, Dask or similar is a plus Why you’ll enjoy working here
- An opportunity to give back to the community with one paid volunteering day every year. - We support your learning and development journey: We offer training in business skills (such as presentation and communication skills, assertiveness, and giving feedback) as well as digital skills (including Alteryx, Power BI, and AI). - A buddy programme, regular feedback, and access to a coach who can support your professional development and career path.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job Description & Summary
Interested in data, Python or SQL and looking for a part-time opportunity alongside your studies? Join our Financial Crime team and discover how data and technology can help fight money laundering and financial fraud. You will work alongside experienced Data Analysts, Engineers, Scientists and AML Compliance Experts on real client projects. You’ll learn how to analyse customer and transaction data, understand patterns and turn data into meaningful insights. Previous experience in Financial Crime is not necessary. What matters most is your interest in data, willingness to learn and motivation to develop your technical skills in a real business environment.
80% Work on client engagements
10% Development our digital assets
5% Preparing new engagement proposals
5% Staying up-to-date with developments in the field of data analysis
At PwC, we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data. We create an environment where people can learn, grow, and build a career in their own way. We believe the best results come from diverse experiences and perspectives. That’s why we foster an inclusive culture where everyone can be themselves, build on their strengths, and contribute to work that makes a real impact.
Interested in joining us? We’d love to hear from you and tell you more about this opportunity.
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