National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Analytics Manager - Credit Risk and Customer Engagement

Birmingham
1 day ago
Create job alert

This rapidly expanding Financial Services organisation are looking for a Senior Analytics Manager to work across their Credit Risk and Digital / Customer Engagement functions to lead advanced analytics initiatives and embed a strong data-driven culture throughout the organisation.

Client Details

Rapidly expanding Financial Services organisation

Description

This rapidly expanding Financial Services organisation are looking for a Senior Analytics Manager to work across their Credit Risk and Digital / Customer Engagement functions to lead advanced analytics initiatives and embed a strong data-driven culture throughout the organisation.

As Senior Analytics Manager, you will be pivotal in shaping the business's overall data and analytics strategy. You'll combine deep technical expertise with commercial insight to deliver impactful analytics solutions across credit risk, marketing, digital, and other strategic functions. Partnering closely with senior leadership, you'll transform complex data into actionable insights that drive smarter decisions and sustainable business growth.

Key Responsibilities

Lead the development and delivery of analytics solutions across diverse business domains
Design, build, and maintain robust statistical models and advanced analytical tools to solve complex business problems
Collaborate with stakeholders to identify analytical opportunities and translate business challenges into data-driven projects
Communicate complex analytical findings in clear, actionable terms to senior leaders and non-technical audiences
Champion data quality, governance, and model validation to ensure analytical integrity and regulatory compliance
Manage and mentor a team of analysts, fostering continuous development and technical excellence
Promote a culture of data literacy, curiosity, and evidence-based decision-making across the organisation
Keep abreast of emerging analytics trends, technologies, and best practices to drive innovation and efficiency

Essential Requirements:

Degree in Data Science, Statistics, Economics, or a related field
Minimum of 10 years' experience in Financial Services, with some leadership experience
Familiarity with FCA regulations and the regulatory environment within financial services
Deep technical expertise in working with large and complex data sets
Strong statistical modelling experience
Proficiency in Python, R, or SQL
Exceptional communication skills, able to influence senior stakeholders and translate analytics into strategic decisions
Highly analytical, commercial mindset with a strategic perspective
Comfortable working in fast-paced, evolving environments

Desirable:

Significant experience working with credit bureau data
Exposure to Salesforce or modern data visualisation tools (e.g., Tableau)

Profile

Degree in Data Science, Statistics, Economics, or a related field
Minimum of 10 years' experience in Financial Services, with some leadership experience
Familiarity with FCA regulations and the regulatory environment within financial services
Deep technical expertise in working with large and complex data sets
Strong statistical modelling experience
Proficiency in Python, R, or SQL
Exceptional communication skills, able to influence senior stakeholders and translate analytics into strategic decisions
Highly analytical, commercial mindset with a strategic perspective
Comfortable working in fast-paced, evolving environmentsJob Offer

Opportunity to join a rapidly expanding financial services organisation

Opportunity to lead Data Analytics Strategy

Related Jobs

View all jobs

Data Analytics Manager

Senior Data Scientist - Forecasting

Senior Credit Risk Manager

Senior Home Actuarial & Data Science Manager

Senior Home Actuarial & Data Science Manager

Data Science Manager

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.