Senior Model Risk Management Specialist

About Team and Role

At DataX, we recognize the critical role that effective risk management plays in our operations. DataX Risk Management division is responsible for data governance, privacy, security, technology risk, operational risk, model risk, business continuity, legal and compliance. We are tasked with development and execution of risk management strategies and ensuring the integrity of our processes and the safeguarding our organization.

This role sits within Model Risk Management function of the Risk Management division.

As a dynamic and innovative AI/ML startup operating in the fintech industry, we are seeking a motivated and skilled Model Risk Management Specialist to join our team. This role offers an exciting opportunity to contribute in design and development of our risk management processes in a fast-paced environment.

In this role, you will be exposed to new ways of working, new risk management techniques, complex business model, and a collegial working environment.

Your Responsibility

Support the implementation and execution of the AI/ML model risk management framework, policies, and procedures for AI/ML models.

Conduct model risk assessments to identify potential risks, weaknesses, and limitations in AI/ML models.

Assist in developing and implementing model validation plans, including testing methodologies, data collection, and analysis.

Collaborate with cross-functional teams to review and document model assumptions, methodologies, and limitations.

Conduct ongoing monitoring and tracking of model performance, identifying and escalating any issues or deviations.

Assist in preparing and presenting model risk reports to management and relevant stakeholders.

Stay updated on industry best practices, regulatory requirements, and emerging trends in model risk management, focusing on Ai/ML models.

Contribute to the enhancement of model risk management processes, tools, and methodologies.

Collaborate with internal functions such as model owners, to ensure compliance with relevant standards

Qualifications

Bachelor's degree in Mathematics, Statistics, Finance, or Computer Science or any relevant fields.

5+ years of experience in data analytics, AI/ML model development, or model risk management.

Strong understanding of AI/ML model development methodologies, statistical modeling techniques, and data analytics tools.

Knowledge of model risk management principles, methodologies, and regulatory requirements specific to AI/ML models.

Knowledge of programming languages commonly used in AI/ML, such as Python or R or SAS.

Excellent analytical and problem-solving skills, with keen attention to detail.

Strong written and verbal communication skills, with the ability to convey complex information effectively.

Ability to work independently and collaboratively in a team environment.

Demonstrated ability to manage multiple tasks and meet deadlines in a fast-paced environment.