Fraud Analyst

  • Suomi
  • Posted 3 hours ago

Nexi

Job title:

Fraud Analyst

Company

Nexi

Job description

Job Description:Why join us in 2024?
Think of the digital tools we use daily – from virtual shopping to contactless payments. They’re shaping our future. Join us to influence the future of digital banking in an innovative environment. With our global merger, the opportunities for personal growth and collaboration are immense.If you join us in the role of Fraud Analysts, this is what you can expect from us:

  • Attractive salary and an overall competitive package
  • Well-structured training for the job and constant support from your manager
  • Hybrid way of working
  • Flexible work hours
  • Home equipment allowance
  • Equipment needed for the role
  • Private health insurance
  • Healthcare cost reimbursements
  • Sponsored sports activities
  • Voluntary pension fund (company-sponsored retirement plan or pension)
  • Referral bonuses for recommending new team members to join the company

About your future role
We are looking for a full-time Fraud Analyst to an exciting position in the Data Analytics and Services department in Risk Management Service Area at Nexi, working in Finland.By using off-the-shelf SAS FM tool with addition of in-house continuously updated rules together with XG Boost based Machine Learning model we detect and prevent payment card fraud for our customers. Payment fraud is a constant threat to consumers, merchants, and banks and therefore an area we continuously need to improve mitigating actions against it. Beyond our existing fraud prevention systems, we have also developed a Big Data environment around Hadoop. Based on our systems and understanding of data patterns we deliver fraud-mitigating services and produce internal and external reports on a regular basis.Your key responsibilities in this role will be:

  • Maintain and enhance performance of fraud prevention services
  • Make sure the custom prevention rules are up-to-date and optimally performing
  • Implement effective methods for monitoring, evaluation, and analytics
  • Collaborate with other domain experts to discover new fraud patterns that strengthen fraud prevention performance
  • Research new areas of performance enhancement using data science

What makes you the best person for this job?
As you read about the role, are you eager to learn more? If so, review the qualifications that fit you for the position. Remember, beyond your skills and experience, it’s your potential that sets you up for success in your daily tasks.Qualifications needed to be successful in this role:

  • Bachelor’s or higher degree in Computer Science, Economics, Statistics or equivalent disciplines
  • Experience in card payment business or banking
  • At least some experience in working with reporting tools (e.g. MS Power BI, Tableau)
  • Proficient skills in English both orally and in writing

Additional skills and experience that would make you stand out:

  • Experience in area of financial fraud prevention
  • Fair knowledge of card issuing and acquiring domain
  • Experience with SAS FM tool

Apply now!If this opportunity resonates with you, we’d love to hear from you!Please apply at your earliest convenience. We’ll be reviewing applications continuously and closing the position once we’ve found the right fit. We are committed to creating a diverse culture where talents from all walks of life can feel like they truly belong.By exploring this job opening, you’re one step closer to joining us. We’re excited to learn more about you!Responsibilities:Qualifications:About Us:Are you interested in joining one of Europe’s leading PayTech companies? Do you want to be part of a diverse team, collaborating with colleagues from across Europe? If so, you’re in the right place!About the Team: We are the result of merging Nexi, Nets, and Sia, with a presence in over 25 countries. With over 80 years of experience, we offer plenty of opportunities for personal and professional growth

Expected salary

Location

Suomi

Job date

Thu, 26 Sep 2024 05:59:19 GMT

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