Credit Risk Analyst

HSBC Group; City of Westminster; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading global bank in London is seeking a Credit Risk Modeler to support the development and maintenance of wholesale credit risk models. This role requires a strong background in quantitative analysis, programming skills in Python, and the ability to engage with stakeholders for data remediation. The position offers a hybrid working style, creating opportunities within a diverse and inclusive environment. Candidates should possess attention to detail and problem-solving abilities.

Qualifications

• Background in a quantitative or technical field is essential.
• Knowledge of retail and/or wholesale credit processes is advantageous.
• Programming skills in Python are essential.

Responsibilities

• Support development and maintenance of wholesale credit risk models.
• Explore new data sources to improve model performance.
• Engage with stakeholders for data remediation.

Skills

Quantitative analysis

Problem solving

Attention to detail

Python programming

SAS knowledge

Education

Degree in mathematics, statistics, or econometrics

Job description

Overview

If you're looking for a career that will help you stand out, join HSBC, 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 offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

Responsibilities

• Support the development and maintenance of wholesale credit risk models with an initial focus on credit decisioning models for SME customers in the UK
• Explore new data sources, apply innovative thinking and analytical techniques to improve model performance and development processes
• Identify areas which require data remediation and proactively engage with internal stakeholders to address them
• Deploy credit risk models and strategies on new and existing risk systems and support independent model review work with Model Risk Management, and if required, external review processes
• Work collaboratively with colleagues across Global Risk Analytics, Wholesale Credit Risk, Model Risk Management, IT and UK Business Banking Product teams amongst others

Qualifications

• A background in a quantitative or technical field is essential e.g. mathematics, statistics, econometrics etc.
• Knowledge and understanding of retail and/or wholesale credit processes and products would also be advantageous.
• Programming skills in Python is essential with SAS knowledge being advantageous.
• Having an attention to detail, ability to creatively solve problems and prepare clear and effective presentations, documentation and analysis articulating complex information in simple terms to non-technical stakeholders.
• Ability to progress multiple tasks at the same time and deliver within agreed timescales.

Location & Working Style

This role is based in London and is Hybrid working. Opening up a world of opportunity.

Diversity Statement

At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.