Senior Credit Risk Modeller- Data Scientist in Slough

Senior Credit Risk Modeller- Data Scientist in Slough

Slough Full-Time 48000 - 84000 € / year (est.) No home office possible
MERJE

At a Glance

  • Tasks: Join a dynamic team to enhance credit risk modelling using data science and machine learning.
  • Company: A boutique consultancy in London, focused on innovative financial solutions.
  • Benefits: Competitive salary of £60K-£70K and opportunities for professional growth.
  • Other info: This role is based in London and offers a chance to work with cutting-edge technology.
  • Why this job: Be part of a forward-thinking company that values innovation and expertise in financial services.
  • Qualifications: 2-4 years of experience in credit risk modelling or validation, with strong communication skills.

The predicted salary is between 48000 - 84000 € per year.

A London based boutique consultancy is on the search for a Credit Risk Modelling Consultant to join their growing team. The Client needs a Modelling Analyst with a background in Data Science to be able to bring machine learning techniques to the current processes and advise the business on staying ahead.

Key Requirements:

  • Credit Risk Modeller or Validator with 2 - 4 years of experience in IFRS9 or IRB Development/Validation
  • Experience and understanding of Financial Services and FCA Regulations
  • Strong communications skills

Send your CV to nmohamed@merje.com

Senior Credit Risk Modeller- Data Scientist in Slough employer: MERJE

Join a dynamic boutique consultancy in London that values innovation and collaboration, offering a vibrant work culture where your contributions directly impact the business. With competitive salaries and opportunities for professional growth, this role as a Senior Credit Risk Modeller allows you to leverage your data science skills in a supportive environment that prioritises employee development and work-life balance.

MERJE

Contact Detail:

MERJE Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Credit Risk Modeller- Data Scientist in Slough

Tip Number 1

Make sure to brush up on your knowledge of IFRS9 and IRB Development/Validation. Being able to discuss these topics confidently during an interview will show that you have the necessary expertise and are serious about the role.

Tip Number 2

Familiarise yourself with the latest machine learning techniques relevant to credit risk modelling. Being able to demonstrate how you can apply these techniques to improve processes will set you apart from other candidates.

Tip Number 3

Network with professionals in the financial services sector, especially those who work in credit risk. Attend industry events or webinars to make connections and gain insights that could be beneficial during your application process.

Tip Number 4

Prepare to discuss your previous experience in detail, particularly any projects where you've successfully implemented data science techniques in credit risk modelling. Real-world examples will help illustrate your capabilities and fit for the role.

We think you need these skills to ace Senior Credit Risk Modeller- Data Scientist in Slough

Credit Risk Modelling
Data Science
Machine Learning Techniques
IFRS9 Knowledge
IRB Development/Validation
Financial Services Understanding
FCA Regulations Knowledge

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in credit risk modelling and data science. Emphasise any specific projects or roles that relate to IFRS9 or IRB Development/Validation.

Craft a Compelling Cover Letter:Write a cover letter that showcases your understanding of financial services and FCA regulations. Explain how your skills and experiences make you a perfect fit for the role and how you can contribute to the consultancy's goals.

Highlight Communication Skills:Since strong communication skills are a key requirement, provide examples in your application that demonstrate your ability to convey complex information clearly and effectively, both in writing and verbally.

Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects attention to detail, which is crucial in the field of credit risk modelling.

How to prepare for a job interview at MERJE

Showcase Your Technical Skills

As a Senior Credit Risk Modeller, it's crucial to demonstrate your expertise in machine learning techniques. Be prepared to discuss specific projects where you've applied these skills, and how they can benefit the consultancy's current processes.

Understand Regulatory Frameworks

Familiarise yourself with IFRS9 and IRB Development/Validation, as well as FCA Regulations. During the interview, be ready to explain how your knowledge of these regulations can help the company stay compliant and ahead of the competition.

Communicate Clearly

Strong communication skills are essential for this role. Practice articulating complex concepts in a simple manner, as you'll need to convey technical information to non-technical stakeholders effectively.

Prepare Questions

Demonstrate your interest in the role and the company by preparing insightful questions. Ask about their current modelling processes, challenges they face, and how you can contribute to their success.