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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 plus perks.
- Why this job: Make a real impact in fraud prevention while collaborating with top industry professionals.
- 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
Senior Fraud Analytics Consultant employer: Harnham
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 latest trends and possibly get referrals.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python, and Power BI. Consider taking online courses or working on personal projects that showcase your skills in these areas to demonstrate your expertise.
✨Tip Number 3
Research the company and its clients thoroughly. Understanding their fraud challenges and strategies will allow you to tailor your discussions during interviews, showing that you are genuinely interested and knowledgeable about their operations.
✨Tip Number 4
Prepare for potential case studies or practical assessments during the interview process. Brush up on your analytical skills and be ready to discuss how you would approach real-world fraud scenarios using your technical knowledge.
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 relevant projects or roles that demonstrate your ability to develop fraud strategies.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about fraud analytics and how your skills align with the company's needs. Mention specific experiences that showcase your expertise in managing different types of fraud.
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 develop predictive models in previous roles.
Highlight Industry Knowledge: Demonstrate your understanding of the UK banking sector and regulatory requirements related to fraud prevention. This will show that you are well-versed in industry best practices and can effectively align strategies with them.
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 current trends and challenges in fraud analytics, especially within the UK banking sector. Be ready to discuss how your experience aligns with regulatory requirements and industry best practices.
✨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, as this will showcase 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.
