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- Tasks: Develop predictive models for collections and fraud detection while mentoring junior analysts.
- Company: Dynamic financial organisation based in Bradford with a focus on innovation.
- Benefits: Hybrid working, enhanced leave, and financial wellbeing support.
- Why this job: Make a real impact in decision science and lead a talented team.
- Qualifications: 5+ years experience, proficiency in Python and SQL, strong statistical skills.
- Other info: Exciting opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A financial organization is seeking a Lead Analyst for Decision Science in Bradford, UK. This role involves developing predictive models for collections and fraud detection, along with mentoring junior analysts.
The ideal candidate will have:
- Over 5 years of relevant experience
- Proficiency in Python and SQL
- A strong grasp of statistical methods
The company offers a hybrid working environment and a range of benefits including enhanced leave and financial wellbeing support.
Lead Analyst, Decision Science - Collections & Fraud employer: LGBT Great
Contact Detail:
LGBT Great Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analyst, Decision Science - Collections & Fraud
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial sector, especially those working in decision science. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any projects you've worked on using Python and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on statistical methods and real-world applications in collections and fraud detection. We recommend practising common interview questions and scenarios that might come up in this field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Analyst, Decision Science - Collections & Fraud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in predictive modelling and decision science. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Lead Analyst role. Share specific examples of your work in collections and fraud detection, and let your passion for data analysis come through!
Show Off Your Mentoring Skills: Since mentoring junior analysts is part of the gig, include any relevant experience you have in guiding others. We love to see how you can help grow a team while driving results in decision science.
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 don’t miss out on any important updates about the process!
How to prepare for a job interview at LGBT Great
✨Know Your Models
Make sure you can discuss the predictive models you've developed in detail. Be ready to explain your approach, the statistical methods you used, and how they impacted collections and fraud detection. This shows your expertise and helps the interviewers see your thought process.
✨Showcase Your Technical Skills
Brush up on your Python and SQL skills before the interview. You might be asked to solve a problem or demonstrate your coding abilities. Practising common data manipulation tasks or writing queries can give you an edge and show that you're hands-on with the tools.
✨Mentorship Matters
Since mentoring junior analysts is part of the role, think about examples where you've guided others. Prepare to discuss your mentoring style and how you've helped team members grow. This will highlight your leadership qualities and fit for the position.
✨Understand the Company Culture
Research the financial organisation's values and work environment, especially their hybrid model. Be prepared to discuss how you can thrive in such an environment and contribute positively to the team. This shows that you're not just a fit for the role, but also for the company.
