RSK-Global Middle Office Professional

Job Description

We are seeking a data science professional to join our Risk Infrastructure team within the Automation & AI function. This businessfocused role sits within Risk Management and combines data science expertise with risk management knowledge to drive intelligent automation initiatives. The ideal candidate will leverage their strong analytical and technical skills to transform risk management practices through datadriven solutions and AI implementation, while maintaining a deep understanding of business context and requirements. Role & Responsibilities: AI/ML Risk Management Guide Risk teams through the complete AI lifecycle, from ideation to implementation Partner with Risk teams to: Identify opportunities for AI implementation Assess feasibility and risks of AI solutions Design appropriate governance frameworks Evaluate model performance and risks Develop AI governance frameworks and assessment criteria Collaborate across teams to ensure AI solutions meet Risk management standards Provide oversight on AI/ML model development and implementation Support risk teams in understanding and managing AIrelated Risks Ensure compliance with AI governance policies and regulatory requirements Facilitate communication between technical teams and Risk stakeholders Digital Infrastructure & Automation Develop and implement automation frameworks for Alteryx & Python Lead global GITHUB implementation across Risk Management Build and nurture digital tool user communities Organize knowledge sharing sessions and training programs Champion nocode platform adoption Establish best practices for automation tools Required Qualifications Bachelor s degree in computer science, Data Science, Finance, or related field 46 years experience in data science or quantitative analysis (financial services preferred) Strong understanding of risk management principles and financial markets Working knowledge of AI/ML concepts and their applications in risk management Experience in stakeholder management and crossfunctional collaboration Ability to translate technical concepts for nontechnical audiences Technical Skills Foundational understanding of AI/ML models and their limitations Automation tools: Alteryx, Nocode platforms Version Control: Git Cloud Platforms: Working knowledge of major cloud services Programming: Python Mind Set: Mandatory Desired Domain Analytical Excellence: Strong quantitative mindset with attention to detail Business Acumen: Ability to understand and align with business objectives Risk Awareness: Understanding of risk management principles and governance requirements Communication: Excellent ability to explain complex technical concepts to nontechnical stakeholders Collaboration: Ability to work effectively with crossfunctional teams Technical Problem Solving: Strong analytical and critical thinking skills Continuous Learning: Keen interest in staying updated with latest developments in AI/ML The firm is an equal opportunity employer, and we are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. The firm and its affiliates prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.