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Data Analyst - Intern - Financial Crime team

Pwc

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Yesterday

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Location
Praha - Hvezdova 1734/2c, Czechia
Type
Internship
Department
Finance
Seniority
Internship
Source
Workday

Description

Job Description & Summary

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


80% Work on client engagements

  • Assessing, validating, implementing and optimising systems for detecting financial crime
  • Analysing data mainly about customers and their transactions
  • Transforming data and understanding its business meaning
  • Assessment of data quality
  • Suggesting how to improve the monitoring systems
  • Communication with clients

10% Development our digital assets

  • Creating data pipelines an automated controls
  • Development of new forms of visualisations
  • Programming in SQL and Python

5% Preparing new engagement proposals

5% Staying up-to-date with developments in the field of data analysis


What matters to us


  • 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
  • Curiosity and eagerness to learn about Financial Crime and AML
  • Good written and spoken English

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
  • Experience with tools such as Power BI, Spark, Dask or similar is a plus

Why you’ll enjoy working here


  • Professional growth that matches your ambitions and pace. Gain in months the kind of experience that can take years to build elsewhere.
  • Fair pay with no gaps. We are among the few companies in the Czech Republic certified for Equal Pay.
  • A flexible benefits programme with 15,000 points to spend on what matters most to you.
  • The option to set your working schedule flexibly.
  • 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.
  • Extensive well-being support and initiatives promoting a healthy lifestyle, from Dr. Digital and Human Dynamic programmes to workplace yoga and running events.
  • An ultrabook and an iPhone with unlimited data.
  • Social events and Away Days.

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.


Ochrana osobních údajů pro žadatele o zaměstnání  / Privacy Statement for Recruitment Applicants 


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Skills

PythonSQLSparkData SciencePower BIAMLCompliance

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