Fraud Analyst

Three Ireland (Hutchison) Limited; Dublin; Hybrid; EUR 55,000 - 78,000; Full time

Benefits offered by this job

Hybrid working model

Healthcare insurance

3 paid holidays

Pension contribution

On-site parking

Learning & development

Job summary

Three Ireland (Hutchison) Limited is seeking a Fraud Analyst to identify, investigate and prevent fraud across customer journeys. The role combines fraud investigation, data analysis, monitoring and control improvement to tackle emerging threats and protect customers and the business from financial loss.

You will work closely with Fraud, Credit Risk, Finance, Technology, Data and Commercial teams in a hands-on analytical capacity and develop a career in fraud and risk.

Qualifications

• Experience in an analytical, investigative, risk, fraud or financial services environment.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to spot unusual patterns.
• Strong Excel skills and data confidence.
• Ability to investigate problems and reach logical conclusions.
• Good written and verbal communication skills.
• Ability to explain findings to both technical and non-technical audiences.
• Strong organisational skills and ability to manage multiple investigations.

Responsibilities

• Monitor customer and transaction activity for indicators of fraud.
• Investigate potentially fraudulent orders, accounts and activity.
• Escalate significant or emerging fraud risks to Fraud & Credit Risk teams.
• Analyse fraud performance and identify trends and threats.
• Produce regular reporting on fraud volumes, losses, acceptance and detection rates.
• Support testing of new fraud rules and controls.

Skills

Analytical mindset

Investigative skills

Attention to detail

Communication skills

Organisational skills

Curiosity

Tools

SQL

Power BI

Excel

Job description

Fraud Analyst

Here at Three, we’ve done things differently since day one.
We take the script and rip it up, we’re a big-hearted energetic bunch, strivingfor a better-connected life. The energy of our people, the pace at which weoperate, and the thrill of making bold moves is exhilarating and addictive.Magic happens when we power the connections that millions value, and you canfeel it… When these things combine, phenomenal things happen.
We encourage our employees to face their weaknesses, to really open themselvesup to new challenges and projects in a super-charged and rich learningenvironment. We want you to become the best version of yourself.
Join us as a Fraud Analyst
The Fraud Analyst will support the business in identifying,investigating and preventing fraud across Three Ireland's customer and productjourneys.

The role will combine fraud investigation, data analysis,monitoring and control improvement, helping to identify emerging fraud trendsand ensure appropriate controls are in place across customer acquisition,orders and account activity.
The successful candidate will work closely with Fraud,Credit Risk, Finance, Technology, Data and Commercial teams to protectcustomers and the business from financial loss and evolving fraud threats.
This is a hands-on analytical role suited to someone who isnaturally curious, enjoys investigating unusual activity and wants to develop acareer in fraud and risk.
What else it involves:

Fraud Monitoring & Investigation

• Monitorcustomer and transaction activity for indicators of fraudulent behaviour.
• Investigatepotentially fraudulent orders, accounts and customer activity.
• Escalatesignificant or emerging fraud risks to the appropriate member of the Fraud& Credit Risk Team.

Fraud Analysis & Insight

• Analysefraud performance and identify trends, patterns and emerging threats.
• Produceregular reporting and MI covering fraud volumes, losses, acceptance rates,detection rates and other key performance indicators.
• Investigatechanges in fraud rates or customer behaviour and identify potential rootcauses.
• Supportanalysis of fraud by product, channel, journey, customer segment and otherrelevant dimensions.
• Usedata to identify opportunities to improve fraud detection and reduceunnecessary customer friction.
• Supportad-hoc analysis and investigations requested by the Fraud & CreditRisk team.

Fraud Rules & Controls

• Supportthe review and optimisation of fraud rules and controls.
• Monitorthe performance of existing fraud controls and identify where improvementsmay be required.
• Assistwith testing new fraud rules, strategies and system changes.
• Analysefalse positives and identify opportunities to improve the balance betweenfraud prevention and customer experience.
• Supportthe implementation and monitoring of new fraud controls in response to emerging threats.
• Maintainappropriate documentation of fraud controls and their intended purpose.

Emerging Fraud Threats

• Support investigations into new threats such as account takeover, identity fraud,synthetic identity, eSIM fraud, SIM swap and social engineering.
• Sharerelevant findings and intelligence with the wider Fraud & Credit Riskteam.
• Helpidentify new indicators that could be incorporated into fraud detectionstrategies.
• Supportthe team in responding quickly to significant changes in fraud patterns.

Data & Reporting

• Extract,manipulate and analyse fraud-related data from relevant business systems.
• Usetools such as SQL, Excel and Power BI to investigate and communicatefindings.
• Translateanalytical findings into clear, practical recommendations fornon-technical stakeholders.

The Skills were looking for:
Essential

• Experiencein an analytical, investigative, risk, fraud or financial servicesenvironment.
• Stronganalytical and problem-solving skills.
• Excellentattention to detail and an ability to identify unusual patterns orinconsistencies.
• StrongExcel skills and confidence working with data.
• Abilityto investigate a problem, establish the relevant facts and reach a logicalconclusion.
• Goodwritten and verbal communication skills.
• Abilityto explain analytical findings clearly to both technical and non-technicalaudiences.
• Strongorganisational skills and ability to manage multiple investigations orpriorities.
• Acurious mindset and willingness to challenge unusual activity.

Desirable

• Experienceworking in fraud, financial crime, payments, telecommunications or anotherrisk environment.
• Experienceusing SQL.
• Experiencewith Power BI or similar reporting/visualisation tools.
• Experienceworking with fraud detection or decisioning platforms.
• Experienceinvestigating account takeover, identity fraud, payment fraud orsubscription fraud.
• Knowledgeof fraud prevention techniques, rules-based decisioning or customerauthentication.
• Experienceworking in an Agile environment.

Benefits of Working at Three

• Flexible working with our new Hybrid model, our employees will enjoy more flexibility working from home and our office locations (2/3 days per week office based). Please see job description for the office location of this role
• Competitive salary, annual performance bonus & pension contribution
• 25 days holidays plus 2.5 company days
• Annual Leave buy or sell (buy or sell up to 5 days AL each year)
• Healthcare Insurance through our flexible benefits programme
• Life assurance, phone & laptop, subsidized canteen
• Access to learning & development tools such as LinkedIn Learning
• Free on-site parking

You may think you know us, but we’re full of surprises. Intrigued? Join us and Be Phenomena.

Three Ireland is proud to be an equal opportunities employer. If you do not ‘tick every box’ in the job description above, there are likely other valuable attributes and skills you have that would make you a great fit for the team. If you feel this role is for you, we are committed to equal employment and growing a diverse workforce.

We embrace those of any race, gender identity, sexual orientation, age, religion, disability, marital status, family status, civil status or membership of the traveler community, and we want our teams to reflect this!

If you require reasonable adjustments at interview, please let us know when scheduling your interview, or alternatively please email [e-mail]