FRAUD AND PAYMENTS ANALYST

at  Dr Martens

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Jan, 2025Not Specified26 Oct, 2024N/AGood communication skillsNoNo
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Description:

THE STUFF THAT SETS YOU APART

Put simply, for this role the key things we’re looking for are:

  • Detailed knowledge of the global payments industry, CNP transactions and card scheme frameworks (e.g. chargebacks) would be highly advantageous.
  • Previous experience in a customer payments or fraud prevention role, preferably at a merchant.
  • Direct experience working with machine learning and rules-based fraud prevention tools (such as Ravelin, Forter, Sift, Signifyd, Accertify, etc).
  • A keen analytical data mindset, the ability to interrogate data for insights, summarising key findings internally (strong in excel at a minimum but experience with Power BI advantageous).
  • High degree of technical literacy with the ability to utilise several systems and understand how they fit together in the wider Dr Martens tech stack.
  • Excellent interpersonal skills, able to explain highly technical issues to non-financial staff.
  • An ambitious and creative thinker who can work either independently or collaboratively to solve problems.

Responsibilities:

As our Fraud and Payments Analyst, you will be accountable for:

  • Acting as payment and fraud SME within the business working on a global level alongside one other analyst but specialised on the management of the EMEA region.
  • Identifying and implementing continuous improvements in our payment fraud processes and KPIs, ensuring we maximise customer acceptance whilst minimising fraud losses.
  • Managing relationship and performance of external fraud screening system suppliers.
  • Defending chargebacks and disputes to maximise recovery from payment providers such as Visa/Mastercard, Klarna and PayPal.
  • Developing an external intelligence network with other merchants, fraud mitigation providers and related payments parties to stay up to date on latest trends in payments and fraud.
  • Handling daily fraud and abuse related processes, escalations, and alerts.
  • Analysing of payments performance data, share of wallet and payment related costs to provide reporting of key KPIs for senior management, recommending cost and performance optimisations.
  • Developing monthly management information on payment related fraud, harnessing transaction data from internal and external systems to report on fraud rates, trends, and financial losses.
  • Supporting in the development and implementation of new payment options across global operations and all business channels.
  • Supporting on operational customer payment activities, projects, or issues on an ad-hoc basis.
  • Supporting the relationship management of key payment providers such as gateway, acquirers, and other related technology partners

Put simply, for this role the key things we’re looking for are:

  • Detailed knowledge of the global payments industry, CNP transactions and card scheme frameworks (e.g. chargebacks) would be highly advantageous.
  • Previous experience in a customer payments or fraud prevention role, preferably at a merchant.
  • Direct experience working with machine learning and rules-based fraud prevention tools (such as Ravelin, Forter, Sift, Signifyd, Accertify, etc).
  • A keen analytical data mindset, the ability to interrogate data for insights, summarising key findings internally (strong in excel at a minimum but experience with Power BI advantageous).
  • High degree of technical literacy with the ability to utilise several systems and understand how they fit together in the wider Dr Martens tech stack.
  • Excellent interpersonal skills, able to explain highly technical issues to non-financial staff.
  • An ambitious and creative thinker who can work either independently or collaboratively to solve problems


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Financial Services

IT Software - Other

Finance

Graduate

The wider dr martens tech stack

Proficient

1

London, United Kingdom