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For Companies At a Glance
- Tasks: Develop fraud strategies and analyse data using SQL, Python, and Power BI.
- Company: Join a leading consulting firm focused on innovative fraud analytics solutions.
- Benefits: Enjoy a hybrid work model and a competitive salary of up to £65,000.
- Why this job: Make a real impact in fraud prevention while collaborating with top industry experts.
- Qualifications: Must have experience in fraud strategy development and proficiency in SQL, Python, and Power BI.
- Other info: Ideal for those passionate about data analysis and fraud prevention in the banking sector.
The predicted salary is between 52000 - 78000 £ per year.
One of our Consulting clients are on the lookout for a highly skilled Senior Fraud Analytics Consultant to join their fraud analytics function working closely with clients developing fraud strategies and providing insights on fraud performance using tools like SQL, Python, and Power BI.
Responsibilities:
- Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers.
- Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models.
- Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud.
- Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
- Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.
Key Requirements:
- Extensive experience in developing comprehensive fraud strategies.
- Proficiency in SQL, Python, and Power BI.
- In-depth knowledge of scams, Authorized Push Payment (APP) fraud, and third-party fraud.
- Experience working with multiple vendors.
Salary: Up to £65,000 Per Year + Strong Benefits Package
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Fraud Analytics Consultant
✨Tip Number 1
Network with professionals in the fraud analytics field. Attend industry events or webinars where you can meet people who work in similar roles. This can help you gain insights into the company culture and possibly get a referral.
✨Tip Number 2
Showcase your technical skills in SQL, Python, and Power BI through practical examples. Consider creating a portfolio of projects that demonstrate your ability to analyse data and develop predictive models relevant to fraud detection.
✨Tip Number 3
Stay updated on the latest trends and regulations in fraud prevention, especially within the UK banking sector. Being knowledgeable about current challenges and solutions will help you engage in meaningful discussions during interviews.
✨Tip Number 4
Prepare to discuss your experience with managing various types of fraud. Be ready to share specific examples of strategies you've implemented and the outcomes achieved, as this will demonstrate your expertise and problem-solving abilities.
We think you need these skills to ace Senior Fraud Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fraud analytics, particularly with SQL, Python, and Power BI. Emphasise any specific projects or achievements that demonstrate your ability to develop effective fraud strategies.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about fraud analytics and how your background aligns with the responsibilities of the role. Mention your experience in the UK banking sector and how it can benefit the company.
Showcase Relevant Skills: Clearly outline your proficiency in SQL, Python, and Power BI in both your CV and cover letter. Provide examples of how you've used these tools to analyse data and identify fraud patterns in previous roles.
Highlight Collaboration Experience: Since the role involves working with multiple vendors, include examples of past collaborations in your application. Discuss how you’ve successfully managed relationships to enhance fraud prevention measures.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and Power BI during the interview. Prepare examples of how you've used these tools to analyse data and develop fraud strategies in previous roles.
✨Demonstrate Industry Knowledge
Familiarise yourself with the latest trends and challenges in fraud analytics, especially within the UK banking sector. Be ready to discuss how regulatory requirements influence fraud prevention strategies.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical fraud cases or develop strategies on the spot. Practise articulating your thought process clearly and logically to demonstrate your analytical skills.
✨Emphasise Collaboration Experience
Since the role involves working with multiple vendors, be prepared to discuss your experience in collaborative projects. Share specific examples of how you've successfully partnered with others to enhance fraud prevention measures.
