Harnham Northampton, England, United Kingdom
2 days ago Be among the first 25 applicants
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Northampton – Hybrid (2 Days Per Week in Office)
ABOUT THE COMPANY
A major financial institution is growing, its a 250+ member team working across risk, marketing, and product analytics. This team operates as an internal consultancy, delivering insight-driven strategies to support commercial growth.
THE ROLE
These roles focus on customer analytics, risk modelling, pricing strategy, and marketing optimisation, directly impacting key business areas.
Key Responsibilities:
* Develop customer insights to improve engagement and retention
* Apply advanced analytics techniques for risk, pricing, and segmentation
* Support marketing performance and product analytics
* Communicate insights to senior stakeholders, influencing key decisions
* Work across SQL, SAS, Python to extract and analyze data
VP Responsibilities:
* Lead end-to-end analytics projects
* Manage teams of 2-4 analysts (up to 7-8 in some cases)
* Work closely with senior leadership to shape strategy
AVP Responsibilities:
* Hands-on analytics in risk, marketing, and product
* Engage with stakeholders but no direct management required
WHO WE'RE LOOKING FOR
Must-Have Skills:
* VP: 6+ years in analytics
* Expertise in SQL, SAS, or Python
* Strong experience in customer insights, marketing, or product analytics
* Ability to translate data into commercial recommendations
Bonus Skills:
* Background in financial services
* Experience in machine learning & predictive modelling
WHY JOIN?
* VP: Up to £110K for top-tier candidates
* Hybrid working – 2 days in-office (Tues & Fri)
* Work on high-impact projects with measurable business outcomes
* Strong career development in a leading institution
HOW TO APPLY
If you're an analytics professional seeking an impactful role, apply today.
Send your CV to Mohammed Buhariwala at Harnham via the Apply link.
KEY TERMS
Analytics, Data Science, SQL, SAS, Python, Customer Analytics, Risk Analytics, Marketing Analytics, Pricing, Financial Services, Banking, Credit Risk, Commercial Strategy, Segmentation, Affordability Models, Hybrid Work
Seniority level
Executive
Employment type
Full-time
Job function
Finance, Analyst, and Project Management
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