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- Tasks: Lead data analysis and collaborate with stakeholders on financial crime projects.
- Company: A leading consulting firm known for its expertise in financial crime.
- Benefits: Hybrid work model, competitive pay, and potential for project extension.
- Other info: Exciting opportunity to grow in a dynamic consulting environment.
- Why this job: Make a real difference in combating financial crime while developing your skills.
- Qualifications: Strong Excel and SQL skills, with experience in data analysis.
The predicted salary is between 45000 - 55000 £ per year.
A leading consulting firm is seeking a Mid-Senior level Business Analyst to provide data-focussed expertise on a Financial Crimes Enhancement project. The role involves leading data analysis, collaborating with stakeholders, and managing compliance requirements.
Strong proficiency in Excel and SQL is required. This is a hybrid role, based in London, with an initial project length of 3 months likely to extend.
Hybrid Data-Driven Business Analyst for Financial Crime in London employer: B2e Consulting
Contact Detail:
B2e Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data-Driven Business Analyst for Financial Crime in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial crime sector on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data analysis projects. This will help you stand out during interviews and demonstrate your proficiency in Excel and SQL.
✨Tip Number 3
Practice makes perfect! Brush up on your interview skills by doing mock interviews with friends or using online resources. Focus on articulating how your experience aligns with the role's requirements.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Hybrid Data-Driven Business Analyst for Financial Crime in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analysis skills and experience with financial crime projects. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant achievements!
Show Off Your Skills: Since strong proficiency in Excel and SQL is a must, include specific examples of how you've used these tools in past roles. We love seeing concrete results, so if you’ve improved processes or driven insights, let us know!
Engage with Stakeholders: In your application, mention any experience you have collaborating with stakeholders. We’re looking for someone who can effectively communicate and manage compliance requirements, so share any relevant stories that demonstrate this.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at B2e Consulting
✨Know Your Data Tools
Make sure you brush up on your Excel and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data, as this will show your practical experience and proficiency.
✨Understand Financial Crime Regulations
Familiarise yourself with the latest compliance requirements related to financial crime. Being able to speak knowledgeably about regulations will demonstrate your commitment to the role and your understanding of the industry.
✨Prepare for Stakeholder Collaboration
Think of examples where you've successfully collaborated with stakeholders in previous roles. Be prepared to discuss how you managed differing opinions and ensured everyone was aligned on project goals.
✨Showcase Your Analytical Mindset
During the interview, highlight your analytical thinking by discussing how you approach problem-solving. Use specific examples from past experiences to illustrate how you’ve tackled complex data challenges.