Redress Analytics Data Scientist

Location: Birmingham/Hybrid

Contract: Until end of Sept 2025

If you’re looking for a career that will help you stand out, join HSBC Innovation Bank and fulfil your potential. Whether you want a career that could take you to the top or simply take you in an exciting new direction, HSBC Innovation Bank offers opportunities, support, and rewards that will take you further. We are currently seeking an experienced individual to join this team in the role of Redress Analytics Data Scientist.

Why should you join HSBC and UK CMB Data & Analytics?

Founded in 1865, HSBC is one of the world’s largest banking and financial services organizations, serving more than 40 million customers through our global businesses. Our network covers 64 countries and territories in Europe, Asia, the Middle East and Africa, North America, and Latin America.

What is UK CMB Data & Analytics?

UK Commercial Banking Data & Analytics supports HSBC’s business capabilities in trade and receivables financing, liquidity and cash management, capital financing and investment banking, payments, and credit and lending for corporate and institutional clients covering over 50 key global locations.

UK CMB Data & Analytics is building and transforming CMB Banking into a “data-driven” organisation that leads our competitors and inspires our employees. We are building a revolutionary data analytics ecosystem to generate business insights and provide great customer experience from well-managed and trusted data assets.

The aim of UK CMB Data & Analytics is to unlock the potential of data by employing innovative technologies and advanced analytics. Coupled with our deep expertise, we will renovate our products, services, and assets and deliver our 2024 BoW commitments. We deliver effective and reusable data assets at pace, providing valuable insights on a scalable and self-service platform, which supports and encourages a data-driven culture, to create competitive advantage, enhance risk controls, and enable growth.

Why work for UK CMB Data & Analytics?

To join UK CMB Data & Analytics means to work with talented individuals from across the globe, and your opportunities are limitless. We continually strive to provide a faster, better service, to look across and beyond our teams to collaborate, innovate, and learn from each other, and we’re not afraid to challenge or learn from our mistakes.

Our values and culture underpin who we are and what we do. They form an integral part of our selection and assessment of new joiners and are also a key driver in the recognition, remuneration, and training for all our employees.

Role Context:

The Data Scientist role within CMB Redress Analytics supports HBUK Redress and is designed to provide quality analytics and insight. This involves supporting Redress projects in identifying customers impacted by banking errors or product issues, calculating refunds due, and supporting the fulfilment of redress activity.

The role entails providing accurate analytics using large data sets, presenting insights to stakeholders at different levels of the organisation, and partnering with the business to ensure robust redress activities can be planned and actioned. You will use your collaboration skills and knowledge of the banking industry and commercial banking products to work across complex remediation programs that span multiple products. You will also mentor other colleagues within the analytics team.

The role holder will support the adoption of appropriate tooling and technology to meet the analytical goals and objectives of UK D&A, ensuring alignment with the overarching Analytics Roadmap and Strategy.

Key Responsibilities:

• Managing a range of high-value and sensitive remediation projects from inception to delivery.

• Developing and maintaining highly complex analyses to extract business information.

• Keeping robust, high-quality documentation to drive team effectiveness and ensure responsiveness to audits.

• Ensuring business units make the best possible decisions based on known information.

• Acting as the key business contact for specific projects and subject matter expert.

• Presenting analytical findings and recommendations to colleagues at different levels of the organisation.

• Leading the development, maintenance, and improvement of high-quality validated strategies.

• Supporting the Head of Redress by shaping the analytics pipeline for the business area, contributing ideas, and deputising where appropriate.

• Making confident business suggestions proactively.

• Mentoring Analysts.

• Developing business awareness to support projects across multiple products.

• Supporting the team with migration to new platforms and adoption of appropriate tooling.

Skills & Requirements:

• Demonstrable coding experience with SAS, SQL, and Python.

• Experience with Google Cloud Platform (GCP).

• Previous HSBC experience.

• Strong stakeholder management skills with the ability to explain complex technical solutions to audiences of varying technical knowledge.

• Strong analytical reasoning.

• Highly developed analytical skills to extract information from data and translate it into business language and financial impacts.

• Ability to shape projects from inception and contribute ideas.

• Effective time management for both individual and team projects.

• Ability to coach other analysts.

• Excellent oral and written communication skills with the ability to influence and communicate analysis and recommendations to colleagues at different levels of the organisation.

• Extraordinary attention to detail.

• Enthusiastic about learning different analytical capabilities.

• Experience applying analytical techniques to data to produce explanatory or predictive results.

• Experience working in an analytical role within financial services or a data-driven organisation within large analytical teams.

• Experience working in highly regulated environments such as redress or remediation programs.

• A conscientious, can-do attitude.

• Experience with tooling such as Python, Vertex AI, and BI Tools like QlikSense, Looker, and PowerBI.