Financial Crime Model Risk Validation Analyst

M&G; City of Edinburgh; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading financial services firm in Edinburgh is seeking an experienced Financial Crime Model Risk Validation Analyst. You will be responsible for executing financial crime model validation activities, ensuring compliance with regulations, and providing expert analysis. Candidates should have extensive experience in financial crime and model validation. The role offers flexible working arrangements.

Benefits

Flexible working arrangements

Inclusive culture and support for diverse communities

Qualifications

• Experienced within financial crime with understanding of related risks and regulations.
• Experienced in independent validation of AML and Fraud models.
• Proficiency in statistical models and anomaly detection.

Responsibilities

• Define and execute financial crime model validation methodology.
• Ensure compliance of validation methods with regulatory requirements.
• Provide expert analysis and advise on financial crime model validation.

Skills

Financial crime understanding

Independent validation of models

Model performance testing

Statistical models for anomaly detection

Strong communication skills

Critical thinking

Programming skills (Python, R, SQL)

Cloud platforms knowledge

Job description

Overview

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.

Responsibilities

• 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

Culture and inclusion

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: [e-mail]