At a Glance
- Tasks: Deliver consultancy projects, build credit scorecards, and analyse data for major lenders.
- Company: Global data and analytics firm with a strong culture and excellent staff retention.
- Benefits: Up to £75,000 salary, hybrid working, and strong career progression.
- Other info: Work with modern tech and enjoy a fast interview process.
- Why this job: Join a dynamic team and make impactful decisions in the financial services sector.
- Qualifications: Experience in credit scorecard development and strong SQL skills required.
The predicted salary is between 45000 - 55000 £ per year.
This global data, analytics and technology business helps organisations make smarter lending decisions through market-leading credit data, analytics and consultancy. Working with banks, lenders, telecoms and other major organisations, they develop analytical solutions that improve customer acquisition, credit decisions and portfolio performance. Having recently migrated to the cloud and invested heavily in Python, it's an exciting time to join a business known for its strong culture and excellent staff retention.
As an Associate Consultant within the Client Analytics team, you'll deliver consultancy projects for some of the UK's largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions.
This is a highly commercial, client-facing position where you'll own analytical projects from discovery through to delivery, presenting insights and recommendations to senior stakeholders while balancing technical excellence with commercial impact.
You will be responsible for:
- Developing acquisition and behavioural credit scorecards using CRA data
- Building statistical and machine learning models including logistic and linear regression
- Designing and implementing credit strategies for new and existing customer portfolios
- Analysing large datasets using SQL and Python (or SAS)
- Delivering analytical consultancy projects for external clients across multiple industries
- Presenting technical findings and commercial recommendations to senior stakeholders
- Supporting clients to improve lending decisions through data-driven insights
The role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.
You’ll ideally have:
- Experience developing credit scorecards within a credit risk environment
- Strong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)
- Credit risk experience across model development or strategy
- Strong SQL skills alongside Python or SAS (Python preferred)
- Experience with statistical modelling techniques such as logistic regression or machine learning
- Excellent communication skills with the ability to present to clients and senior stakeholders
Benefits include:
- Up to £75,000 salary
- Hybrid working (Monday-Thursday office, Fridays remote)
- Work with a wide range of clients across financial services, telecoms and beyond
- Opportunity to work on varied analytical consultancy projects rather than a single portfolio
- Modern cloud-based technology stack with increasing use of Python
- Strong career progression within a business known for long employee tenure
- Two-stage interview process with a fast turnaround
Associate Analytics Consultant employer: Harnham - Data and Analytics Recruitment
Harnham is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation in AI and data analytics thrives. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to lead transformative projects in a vibrant London setting. The hybrid working model ensures a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers.
Contact Details:
Harnham - Data and Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Associate Analytics Consultant
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Harnham - Data and Analytics Recruitment. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Associate Analytics Consultant
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Harnham - Data and Analytics Recruitment.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Harnham - Data and Analytics Recruitment's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Harnham - Data and Analytics Recruitment
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Harnham - Data and Analytics Recruitment.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Harnham - Data and Analytics Recruitment will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Harnham - Data and Analytics Recruitment employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
