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- Tasks: Analyse collections performance and recommend improvements using data-driven insights.
- Company: Join My Finance Club, a dynamic team in the finance sector.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for growth.
- Why this job: Make a real impact on financial strategies while developing your analytical skills.
- Qualifications: Background in economics, maths, or data analysis with SQL and Python skills.
- Other info: Be part of a supportive environment that values innovation and collaboration.
The predicted salary is between 30000 - 50000 £ per year.
Location: Hybrid – 2 days a week in our Sheffield Office
Job functions
- Analyse current collections performance and make recommendations for improvement; including:
- SMS (business transmission and customer interaction)
- Email (business transmission and customer interaction)
- Website (business transmission and customer interaction)
- Chat (business transmission and customer interaction)
- AI Agents interaction and performance
- Dialler systems (business transmission and customer interaction)
- Payments activity (online payments, bank transfers, card payments over the phone)
- B2C Communications frequency and customer behaviour
- Peaking and troughing analysis of collections performance
- Payment types and pattern recognition
- On time payments and payplans
- Provide concepts to enhance collections performance, including marketing communications
- Development and monitor collection KPI’s (Recovery Rate, loan instalments, payplans, communications, gross efficiency etc.)
- Prepare daily, weekly, monthly, annual and other periodic reports, as well as other one-off reports for senior management
- Support Contact Centre management, Compliance management and Senior management related issues
Education
- Economics and maths. Economics, applied mathematics, finances, mathematical statistics.
- Social sciences. Sociology, political sciences, marketing.
- Computer sciences. Data analysis, databases, programming, information technology.
Experience
- Debt collection or unsecured lending business (loans, credit cards, lines of credit)
- E-commerce, marketing
Required hard skills
- SQL. Any dialects (MySQL, PgSQL, MsSQL). CTEs, window functions, hard queries, stored procedures.
- Mathematical statistics. Different types of distributions, correlation, regressions, hypothesis testing.
- A/B testing. Split principles, test planning, logging.
- Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc.
- ETL processes. Airflow, Pentaho etc.
- IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures.
Other skills
Required fluent English.
Problem solving, critical thinking. Competence in cognitive biases and logical fallacies.
Job Types
Job Types: Full-time, Permanent
- Company pension
Please inform us if you have a disability that would require reasonable adjustments for the recruitment process / job role.
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Debt Collections Analyst employer: My Finance Club
Contact Detail:
My Finance Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Debt Collections Analyst
✨Tip Number 1
Get your networking game on! Reach out to people in the finance and collections industry, especially those who work at My Finance Club. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for the interview like a pro! Brush up on your SQL skills and be ready to discuss your experience with data analysis. We want to see how you can apply your knowledge to improve collections performance.
✨Tip Number 3
Show off your problem-solving skills! Think of examples from your past experiences where you tackled challenges head-on. We love candidates who can think critically and come up with innovative solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to make a difference in the collections space.
We think you need these skills to ace Debt Collections Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Debt Collections Analyst role. Highlight relevant experience, especially in debt collection or e-commerce, and showcase your skills in SQL and data analysis. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can enhance our collections performance. Keep it concise but impactful – we love a good story!
Show Off Your Skills: Don’t shy away from showcasing your hard skills like Python, SQL, and data analysis techniques. Mention specific projects or experiences where you’ve used these skills effectively. We’re keen to see how you can contribute to our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at My Finance Club
✨Know Your Numbers
As a Debt Collections Analyst, you'll be dealing with a lot of data. Brush up on your SQL skills and be ready to discuss how you've used data analysis in previous roles. Prepare examples of how you've improved collections performance through data-driven decisions.
✨Understand the Tools
Familiarise yourself with the tools mentioned in the job description, like dialler systems and AI agents. If you have experience with ETL processes or Python, be prepared to share specific projects where you utilised these skills to enhance performance.
✨Showcase Your Problem-Solving Skills
This role requires critical thinking and problem-solving abilities. Think of scenarios where you've tackled challenges in debt collection or finance. Be ready to explain your thought process and the outcomes of your actions.
✨Communicate Clearly
Since this position involves a lot of communication, practice articulating your thoughts clearly. Whether it's discussing your experience with B2C communications or explaining complex data concepts, clarity is key. Consider doing mock interviews to refine your delivery.