Credit Risk Modeller
London
£40,000 – £63,000

A varied role focusing mostly on Credit Risk Model development in the retail banking space. Use SAS to develop regulatory models with a focus on PD, LGD, EAD (for IFRS9 and IRB) as well as Stress testing. Work with a variety of different data sources and provide hands-on Credit Risk Modelling solutions at an established bank!

THE COMPANY:

A large but flat-structured bank with excellent financial performance seeking to further grow its Credit Risk Modelling team.

THE ROLE:

• Development of Credit Risk Models (using SAS, Python, R) within the consumer banking space
• Development, optimisation and validation of PD, LGD, EAD models for IFRS9 and IRB purposes
• Deliver own analysis and modelling projects and work with others in the team to deliver larger projects as required

YOUR SKILLS AND EXPERIENCE:

• Experience developing Credit Risk Models using SAS, Python or R
• Experience developing PD, LGD, EAD models
• Numerate degree from a recognised university
• Strong communication skills and ability to communicate to non-technical audiences

BENEFITS

• Exposure to a variety of businesses and stakeholders
• From scratch model development
• Explore machine learning techniques
• Up to £63,000 + 10% bonus

KEYWORDS:

Credit Risk, SAS, Modelling, Scorecards, Basel II, IRB, PD, LGD, EAD, Portfolio Management, Strategy, Collections Strategy, ICAAP, Stress testing, IFRS9, Pillar 2, CESM, TRIM

Fraud Data Scientist

London or Midlands

Hybrid

Up to £50,000

The Company

An opportunity to work at one of the biggest banks in the UK that are implementing next-generation software to help with fraud prevention using SAS, SQL, and/or Python. This is an amazing chance to help take your career to the next level and work on industry-leading projects.

The Role

As a Fraud Data Scientist, you will be:

• Working within a team to develop fraud prevention models.
• Running rules and testing the models to enhance their ability to spot fraud trends.
• Helping drive strategic and tactical changes.
• Communicating between the stakeholders to help drive improvements to the systems and improve the model efficiency.

Your skills and experience

For you to be successful as a Fraud Data Scientist, you will need:

• Strong ability to use SAS, SQL, or Python
• A fraud analytics background
• Experience developing fraud models
• A numeric degree
• Experience as a fraud data scientist

Benefits

Up to £50,000 + competitive benefits

HOW TO APPLY

Please register your interest by sending your CV to Sean Tunley via

Credit Risk Impairment Manager
London
Up to £75,000

A fast-growing established London lender is seeking a Credit Risk Manager with experience working with IFRS9 models or impairment to lead their impairment analysis function. If you are a daily SAS or Python user, with good IFRS9 knowledge who enjoys end-to-end ownership over projects and presenting the results to stakeholders this could be a great role for you. The role offers a step into management with leadership over an analyst

The company enjoys a unique office culture.. High-paced and challenging yet informal with little red tape. The role will suit a self-starter who likes the Analytical elements as well as the Financial side. A new role in a growing, you will play a key role in optimising Impairment and minimising Credit Losses through analysis of the capital numbers.

THE ROLE:

• Produce Provision and Impairment forecasts for quarterlies, budgets etc
• Compile and produce management reports with relation to Provisions and Impairment Forecasts
• Drive understanding of impairment movement levers which will in turn inform the improvement of the IFRS9 based impairment methodology
• Develop stress testing models for internal and regulatory purposes
• Monitor and report on expected loss models
• Deep dive into forecasting numbers and perform trend analysis to understand the Impairment and Provisioning data and produce insights on same
• Extensive stakeholder engagement duties including communicating analysis and findings with senior management and internal teams

YOUR SKILLS AND EXPERIENCE:

• University degree in a numerate discipline from an accredited University
• Experience working in an analytical role in a Credit Risk or related financial function
• Strong SAS or other programming skills required
• Experience working in an impairment role or developing IFRS9 models is required

BENEFITS:

• Up to £75,000
• 20% bonus
• No red tape environment with freedom to own projects from start to finish
• Growing company with great progression prospects

HOW TO APPLY:

Use the apply feature on this page!!

KEYWORDS:

Credit Risk Analytics, Capital and Impairment, Provisions, Reporting, Forecasting, SAS, SQL, Excel, IFRS9, IAS, IFRS, Accounting, Collections, Loss Forecasting, Cash Recovery,

Head of Collections Strategy
London
Up to £100,000 + Equity

You’ll be accountable for the Collections Strategy at a fast-paced fin-tech lender. There is little red tape here so it’s the chance to come in and have a big impact! You will lead a small team using data to optimise Collections and Recoveries strategies and processes.

THE COMPANY

An innovative digital lender is looking for an experienced collections strategy specialist to manage its Collections strategy and everything from pre-arrears to collections and recoveries to debt sale.

THE ROLE:

• Lead a small team of collections strategy analysts
• Design and deliver world-class collections processes based on data analysis
• Lead the development of the collections strategy and policy
• Monitor the performance of the collections strategy
• Communicating the collections strategy and gaining buy-in from stakeholders across the business
• Use SQL (and SAS or Python) to analyse customer data and drive insight for strategy optimisation and customer satisfaction

YOUR SKILLS AND EXPERIENCE:

• Educated to degree level (2.1 minimum) from a Russell Group University preferred
  
• Strong A-levels in numerate disciplines would be another nice to have
• Experience driving strategy development and changes in Collections in essential
• Experience working in an analytical role in Collections and Recoveries
• Strong stakeholder and communication skills
• Competent with SQL, Python, SAS or similar
• Ability to manipulate and analyse large sets of customer and/or third-party data

BENEFITS:

• Join an ambitious company with a top-grade analytics function
• Laid-back environment with flexible working options
• Up to £100,000 with 20% bonus

KEYWORDS:

Credit Risk Analyst, Strategy, Portfolio, Python, R, SAS, SQL, Credit Card, Collections, Analysis, SAS, Insights, Policy, Loans, Portfolio Analytics, Recoveries