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Lead Credit Risk Analyst- Forecasting

JR United Kingdom

Slough

On-site

GBP 50,000 - 60,000

Full time

3 days ago
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Job summary

A leading company in the consumer credit sector is seeking a Lead Credit Risk Analyst in Slough. The role involves designing forecasting models, conducting data analysis, and leading a team of analysts to drive performance improvements. Candidates must have extensive experience in forecasting and strong skills in advanced analytics tools like SAS, R, and Python, as well as a robust understanding of IFRS9 impairments. Join us to influence key business decisions and capitalize on trends.

Qualifications

  • 3+ years’ experience in forecasting and portfolio analysis in the consumer credit industry.
  • Strong background in developing or monitoring credit models.
  • Proven ability to manage analytical teams.

Responsibilities

  • Develop and implement advanced forecasting models for key portfolios.
  • Provide data insights into portfolio performance and credit quality.
  • Lead and mentor a team of analysts focused on forecasting.

Skills

IFRS9 impairments
Data Analysis
Forecasting
Statistical Models
Credit Quality Insights

Tools

SAS
R
Python

Job description

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Lead Credit Risk Analyst- Forecasting, slough

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Client:

MERJE

Location:

slough, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

2

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Up to £60K!

London/ Yorkshire 1 day a week

You will be responsible for developing, implementing, and optimizing advanced forecasting models, ensuring the accuracy of predictions, and driving improvements in portfolio performance. Your analysis will support key business functions in identifying trends, managing risk, and capitalizing on opportunities.

Key Responsibilities:

  • Forecasting Models: Design and implement advanced forecasting models for key portfolios (e.g., credit cards, loans, vehicle finance) to predict trends, risks, and opportunities. Ensure the models are accurate, up-to-date, and tailored to evolving business needs.
  • Data Analysis & Insights: Use statistical models and advanced data analytics techniques to provide actionable insights into portfolio performance, risk exposure, and credit quality.
  • Performance Monitoring: Regularly track and assess portfolio performance, using forecasting data to inform operational strategies and adjust forecasts where necessary.
  • Stakeholder Communication: Present your findings and actionable recommendations to senior management and other key stakeholders to influence strategic decisions and drive performance improvements.
  • Team Leadership: Lead, mentor, and support a team of analysts focused on forecasting and portfolio analysis. Provide guidance on best practices, share knowledge, and help develop the team’s skills.
  • Collaboration: Work cross-functionally with teams in risk management, finance, product development, and operations to align forecasting efforts with business goals.
  • Continuous Improvement: Continuously improve forecasting models and methodologies to enhance accuracy, reduce forecasting errors, and ensure the effectiveness of decision-making processes.

Key Requirements:

  • 3+ years’ experience in forecasting, portfolio analysis, or a related field within the consumer credit industry.
  • strong background in IFRS9 impairments
  • Extensive experience in developing, validating or monitoring Credit Models (impairment, stress testing, forecasting)
  • Strong background using advanced analytics tools (e.g., SAS, R, Python).
  • Proven ability to manage and develop an analytical team, prioritizing tasks and delivering strategic guidance.
  • Expertise in converting complex data into business insights, and the ability to communicate findings effectively to non-technical stakeholders.
  • Ability to anticipate trends and adjust forecasting strategies based on emerging data and market conditions.
  • Strong attention to detail and a passion for accuracy in forecasting and performance monitoring.

*Sponsorship cannot be offered for this role*

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