- Company Name
- Stanley David and Associates
- Job Title
- Senior Data & Credit Analytics
- Job Description
-
**Job title:** Senior Data & Credit Analytics
**Role Summary:** Own end‑to‑end data initiatives for a financial services client. Design and execute analytical projects that translate data into commercial outcomes, build self‑serve dashboards, and present actionable insights to senior stakeholders.
**Expactations:**
- Lead projects from scoping to delivery, meeting timelines and budget.
- Deliver high‑quality, validated insights that influence business decisions.
- Proactively optimize data pipelines and reporting processes.
- Communicate findings clearly to non‑technical audiences.
**Key Responsibilities:**
- Brainstorm, design, scoping, and executing analytical projects.
- Mine, transform, and validate large internal and external data sets.
- Define, track, and report key metrics for credit and market performance.
- Conduct customer profiling, segmentation, and conversion analysis.
- Design and run marketing experiments (A/B, multivariate) and measure statistical significance.
- Build predictive, performance, and profitability models.
- Create business‑ready dashboards and visualisations.
- Present insights to senior stakeholders and guide decision‑making.
- Automate data pipelines, reports, and analytical workflows.
- Support debit‑payment and current‑account analytics (UK context preferred).
**Required Skills:**
*Technical*
- Advanced SQL (including complex queries)
- Python (pandas, scikit‑learn, statsmodels)
- PySpark for big‑data processing
- Statistical experimentation design (A/B, multivariate)
- Predictive modelling (regression, classification, time‑series)
- Data quality, reconciliation, and validation
*Non‑technical*
- Strong presentation and stakeholder‑management skills
- Ability to distil complex analyses into concise business narratives
- Project management in fast‑changing environments
- Commercial mindset focused on value creation
- Highly organized, proactive, capacity to manage multiple priorities
- Collaborative, consultancy‑oriented problem‑solving
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Finance, or related field.
- Certifications in SQL, Python, or cloud data services (e.g., GCP Data Engineer) are an advantage.
Manchester, United kingdom
Hybrid
Senior
02-03-2026