Financial Crime Model Risk Validation Analyst - M&G plc.
Financial Crime Model Risk Validation Analyst - M&G plc.

Financial Crime Model Risk Validation Analyst - M&G plc.

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Validate financial crime models and ensure compliance with regulations.
  • Company: Join M&G plc, a leading international savings and investments business with over 170 years of experience.
  • Benefits: Enjoy flexible working arrangements and workplace accommodations to support your success.
  • Why this job: Be part of a culture that values integrity, collaboration, and exceptional talent while making a real impact.
  • Qualifications: Experience in financial crime validation and strong analytical skills are essential; programming knowledge is a plus.
  • Other info: M&G is committed to diversity and inclusion, welcoming applicants from all backgrounds.

The predicted salary is between 43200 - 72000 £ per year.

Job Description

At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

The Financial Crime Model Risk Validation Analyst is an experienced role with day-to-day responsibility for executing financial crime model validation activities.

Financial crime responsibilities:
• Define and execute financial crime model validation methodology and activities in accordance with the established validation plan and validation process
• Ensure that financial crime model validation methods are compliant with regulatory requirements.
• Attest that financial crime models have been properly validated and reported to relevant internal and external parties.
• Ensure that financial crime model validation documentation is complete, consistent, accurate, updated and approved.
• Register and follow up on financial crime model risk validation findings, identified risks and agreed actions.
• Escalate financial crime model risk validation findings issues.
• Provide expert analysis and advice relating to financial crime model risk validation.
• Support the maintenance of methodologies for 2LoD assurance and financial crime model validation.

Additional responsibilities:
• Other tasks and activities within the scope of your role or team as required from time to time.

Skill requirements:
• Experienced within financial crime and being able to demonstrate understanding of the financial crime risks inherent in the asset management and/or insurance sectors and regulatory knowledge relevant to these sectors.
• Experienced in independent validation of AML, Fraud, Risk Rating, Screening models.
• Experienced in independent validation of AML, Fraud transaction monitoring tools and associated models.
• Experienced in model performance testing, back-testing, sensitivity analysis and benchmarking for assessing model effectiveness and identifying any weaknesses, biases or vulnerabilities in the model.
• Proficiency in statistical models for anomaly detection.
• Knowledge in fuzzy matching techniques and effectiveness testing including ATL and BTL testing
• Strong communications skills, with the ability to liaise and collaborate with Compliance and Business Unit 1LoD model teams and communicate to senior stakeholders.
• Strong critical thinking and problem-solving skills.
• [DESIRED] Programme and data analysis skills in Python, R, SQL, SAS or MATLAB for model validation and analytics
• [DESIRED] Feature Engineering and algorithm optimisation including AI-driven detection techniques
• [DESIRED] Cloud platforms knowledge (AWS, Azure, GCP) and big data frameworks (Hadoop, Spark)
• (DESIRED) Experience of working with Bridger or similar screening tools

Experience Level: Experienced Colleague
Recruiter: Helen Simons

We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader , and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions. Being a Disability Confident Leader means that candidates who meet the minimum criteria of a job, will be offered an interview if they 'opt in' to the scheme when applying.

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: careers@mandg.com

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Contact Detail:

M&G plc Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Financial Crime Model Risk Validation Analyst - M&G plc.

✨Tip Number 1

Familiarise yourself with the latest regulatory requirements in financial crime, particularly those relevant to asset management and insurance sectors. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.

✨Tip Number 2

Network with professionals already working in financial crime model validation. Attend industry events or webinars to connect with experts who can provide insights into the role and potentially refer you to opportunities at M&G plc.

✨Tip Number 3

Brush up on your technical skills, especially in programming languages like Python, R, or SQL. Being able to demonstrate your proficiency in these areas during discussions can set you apart from other candidates.

✨Tip Number 4

Prepare to discuss specific examples of your experience with model validation and performance testing. Having concrete cases ready will showcase your expertise and problem-solving abilities, which are crucial for this role.

We think you need these skills to ace Financial Crime Model Risk Validation Analyst - M&G plc.

Financial Crime Risk Assessment
Model Validation Methodology
Regulatory Compliance Knowledge
Documentation Accuracy and Consistency
Risk Identification and Management
Expert Analysis in Financial Crime Models
Model Performance Testing
Back-Testing and Sensitivity Analysis
Statistical Modelling for Anomaly Detection
Fuzzy Matching Techniques
Strong Communication Skills
Critical Thinking
Problem-Solving Skills
Data Analysis Skills in Python, R, SQL, SAS or MATLAB
Feature Engineering and Algorithm Optimisation
Knowledge of Cloud Platforms (AWS, Azure, GCP)
Experience with Big Data Frameworks (Hadoop, Spark)
Experience with Screening Tools like Bridger

Some tips for your application 🫡

Understand the Role: Before applying, make sure to thoroughly read the job description for the Financial Crime Model Risk Validation Analyst position. Understand the key responsibilities and required skills, especially those related to financial crime model validation and regulatory compliance.

Tailor Your CV: Customise your CV to highlight relevant experience in financial crime, model validation, and any specific tools or methodologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.

Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for the role. Mention your experience with AML, fraud detection, and any programming skills in Python, R, SQL, or similar that align with the desired qualifications.

Showcase Your Communication Skills: In your application, emphasise your strong communication skills and ability to collaborate with various teams. Provide examples of how you've effectively communicated complex information to senior stakeholders in previous roles.

How to prepare for a job interview at M&G plc

✨Understand Financial Crime Risks

Make sure you have a solid grasp of the financial crime risks specific to the asset management and insurance sectors. Be prepared to discuss how these risks can impact model validation and compliance.

✨Showcase Your Technical Skills

Highlight your experience with statistical models, particularly in anomaly detection, and any programming skills in Python, R, SQL, or similar tools. Be ready to provide examples of how you've used these skills in past roles.

✨Communicate Effectively

Strong communication skills are essential for this role. Practice articulating complex concepts clearly and concisely, especially when discussing model validation findings with senior stakeholders.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your critical thinking and problem-solving abilities. Think of examples from your previous work where you identified weaknesses in models and how you addressed them.

Financial Crime Model Risk Validation Analyst - M&G plc.
M&G plc

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M
  • Financial Crime Model Risk Validation Analyst - M&G plc.

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-08-13

  • M

    M&G plc

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