Level

PwC

AML Analyst | Financial Crime Unit

PwC is hiring an AML Analyst | Financial Crime Unit. Level rates it ; you can apply on PwC.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • PwC has 3,800+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Job Description & Summary

PwC Poland’s Financial Crime Unit (FCU) team is composed of 1300 specialists who provide consulting services and operational support to global financial institutions in the area of Anti-Money Laundering, Risk, Regulatory, ESG, and other financial services. We are PwC's multi-competency center, bringing together top experts in Anti-Money Laundering (AML) – an area of financial services that focuses on preventing the introduction of illegal funds into a legitimate financial system. Institutions operating within the modern financial system face many challenges, such as money laundering attempts, the spread of organized crime, and the fight against terrorist financing. These are the institutions that seek assistance from us – PwC Financial Crime Unit.

We are looking for:

AML Analyst


Your future role:

  • Gaining knowledge in Financial Crime area,

  • Observing procedures, acting in accordance with policies and guidelines,

  • Performing research via internal and external sources,

  • Gathering and analyzing documentation according to the requirements, 

  • Working on client projects delivered in Poland and abroad.


Apply if you have:

  • An ability to speak English fluently,

  • Strong analytical and problem-solving skills,

  • An ability to meet deadlines and reach targets,

  • A university degree,

  • Strong proficiency in using new technologies and AI‑based tools in your daily work (e.g., task automation, information analysis, content creation).

Nice to have:

  • Prior experience in a corporate environment,

  • Proficiency in other European languages.


By joining us you gain:

  • Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave,

  • Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC (Internal AML Certification) and conversations with native speaker,

  • Medical and wellbeing program - medical care package, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling,  

  • Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase,

  • 3 paid hours for volunteering per month,  

  • Additional paid Birthday Day off,

  • And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.

Recruitment process:

  • CV verification, 

  • Virtual Interview,

  • Case study,

  • Interview.

If you are interested in this position, please upload your CV in English.

If you have additional questions, please contact us: pl_mso_career@pwc.com

Please note that we do not collect resumes in our inbox.

Your personal data will be processed for recruitment purposes by PwC Business Services spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.

#LI-JC1

How we rate this

AML Analyst | Financial Crime Unit at PwC rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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