£45,000 Per year
Fixed-Term
Hybrid
Llantrisant, Wales, United Kingdom
Summary: The Data Analyst for Financial Crime will play a crucial role in developing data-driven strategies to combat fraud while minimizing the impact on legitimate customers. The position requires significant experience in data management and analysis, particularly in retail or financial services, along with proficiency in analytic and visualization tools. The role also emphasizes proactive identification of fraud trends and effective communication across various staff levels. This is a 12-month fixed-term contract offering a flexible hybrid working model.
Key Responsibilities:
- Provide data-driven strategies and solutions to fraud challenges.
- Manage and analyze data, preferably within retail and/or financial services.
- Utilize analytic, visualization, and data modeling tools such as SQL, SAS, and MS Fabric.
- Implement AI and machine learning techniques in data analysis.
- Consolidate, manipulate, and interrogate data from various sources.
- Communicate effectively across multiple staff levels.
- Stay informed about market and global fraud trends.
- Proactively identify new trends and areas of impact using a data-driven approach.
Key Skills:
- Significant experience in data management and analysis.
- Proficiency in analytic, visualization, and data modeling tools (SQL, SAS, MS Fabric).
- Experience with AI and machine learning.
- Strong analytical skills.
- Excellent communication skills.
- Awareness of market and global fraud trends.
- Proactive and data-driven approach.
Salary (Rate): £45,000.00 yearly
City: Llantrisant
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: fixed-term
Seniority Level: undetermined
Industry: Other
Data Analyst – Financial Crime - 12 months fixed term contract £36,000 - £45,000
Your role with us:
The data analyst is key to providing data driven, proactive strategies ad solutions to the fraud challenges facing TRM whilst minimising the impacts on genuine customers.
We are looking for people who have:
- Significant experience in data management and analysis, preferably within retail and/or financial services
- Demonstrable use of analytic, visualisation and data modelling tools such as SQL, SAS, MS Fabric
- Experience with AI and machine learning
We are looking for people who are:
- Analytical and consolidate, manipulate and interrogate data from disparate sources.
- Clear communicators and can interact well across multiple staff levels.
- Aware of the market and global fraud trends
- Pro active with a data driven approach to promptly identify new trends and areas of impact.
More information and employee benefits:
- Enjoy a 9-day fortnight as part of a flexible hybrid-working model, with a blend of home working and at least three days per week in the office.
- Supportive and sponsored professional development opportunities + reimbursement of professional membership fees.
- 24.5 days holiday + bank holidays.
- Option to buy up to 5 days annual leave per annum.
- Generous Pension Scheme – with the ability to adjust your contribution amount.
- Automatic enrolment to The Royal Mint’s Life Assurance Scheme.
- Access to free onsite car parking and canteen proudly serving Costa Coffee.
- Access to various salary sacrifice schemes e.g. Technology, Cycle to work, Pendragon Car Leasing Scheme.
- Automatic access to our Hapi App offering retail and leisure discounts, and employee assistance/wellbeing programme in partnership with Health Assured.
- Ability to join and use our onsite gym, which is run by employees within The Royal Mint + access to onsite occupational health support and physio.
- Opportunities to get involved in supporting our chosen charity and paid time to take part in volunteering via our ‘Give a Day’ incentive.