Key Responsibilities

Quantitative Risk Modelling & FCC Advisory

Lead delivery of model-focused engagements, including risk model development, validation, and review across AML, transaction monitoring, and risk scoring frameworks

Design and implement quantitative models aligned with regulatory expectations and best practices

Oversee model validation activities, including back-testing, performance monitoring, and documentation

Data, Coding & Analytics

Design and oversee data pipelines and analytical solutions using Python, SAS, scikit-learn, and statsmodels

Lead analysis of large datasets to support model development, calibration, and optimisation

Develop and enhance automated reporting, model outputs, and monitoring frameworks

Machine Learning & Modelling

Apply and guide advanced statistical and machine learning techniques for risk modelling, including classification, clustering, and anomaly detection

Oversee model development lifecycle from design to validation and implementation

Ensure models are robust, explainable, and compliant with regulatory requirements

Technology & Innovation

Drive implementation of model-driven solutions within client systems and FCC frameworks

Identify opportunities to enhance modelling approaches through automation and advanced analytics

Stakeholder Management

Manage client relationships and provide clear, structured insights on model performance and risks

Translate technical outputs into business recommendations for senior stakeholders

Guide and review work of junior team members to ensure quality and consistency

3 +years of experience within financial institutions,



regulatory bodies, or consulting firms, with strong exposure to risk, compliance, and governance frameworks

Strong experience across GRC, regulatory compliance, corporate governance, and non-financial risk, with exposure to consumer protection and internal audit frameworks (Islamic Finance is an advantage)

Proven experience working with financial services clients (banks, asset managers, and other regulated institutions)

Strong working knowledge of UAE regulatory frameworks (e.g. Central Bank of the UAE, Capital Markets Authority) and international best practices

Demonstrated ability to lead or manage workstreams across regulatory compliance, governance, and risk initiatives

Progressing towards or holding a relevant professional qualification (e.g. ICA, CIA, Company Secretary or equivalent)

Robust stakeholder management and client engagement skills, with the confidence to work with senior stakeholders

Excellent analytical and problem-solving capabilities, with the ability to interpret and apply regulatory requirements in a practical context

Strong communication and presentation skills in English; additional languages are an advantage

Ability to thrive in a fast-paced and managing multiple priorities and deadlines

Proficiency in Microsoft Office tools, with exposure to data, analytics, or AI tools considered an advantage

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Consultant - Quantitative Risk Modelling (Bengaluru)
🏢 Grant Thornton
📍 Bengaluru