Ta Jobs

About The Position

Requirements

• Hold a Bachelor’s or Master’s degree in a quantitative field such as analytics, statistics, mathematics, computer science, or a related discipline.
• Bring over 5 years of progressive experience in data analytics and machine learning, with a strong background in retail credit risk management, ideally within the banking industry.
• Have hands-on experience developing, deploying, and monitoring agentic AI systems.
• Built and managed complex machine learning models for real-world applications, preferably in financial services.
• Highly skilled in Python.
• Extensive experience with Databricks, including managing end-to-end process and model flows.
• Comfortable with large-scale data processing, model orchestration, and applying MLOps best practices.
• Proven track record of leading, coaching, and developing high-performing teams in a supportive environment.
• Empower others to achieve their best and excel at explaining complex ideas and recommendations to diverse audiences, effectively influencing stakeholders to drive meaningful change.
• Results-driven, take initiative, and demonstrate a strong sense of ownership in your work.
• Motivated to achieve goals and deliver impactful outcomes.
• Bring your authentic self to work and live our values—trust, teamwork, and accountability.

Nice To Haves

• Strong understanding of real estate secured lending practices, credit risk analytics, and regulatory considerations relevant to mortgage and secured lending portfolios.

Responsibilities

• Lead the design, development, and deployment of advanced AI and agentic AI solutions, including machine learning and deep learning models, to solve complex business problems and drive automation within RESL credit risk analytics.
• Lead the development and execution of advanced quantitative modeling and analytics strategies to monitor portfolio performance, interpret complex data, and proactively identify and forecast key portfolio risk trends.
• Architect, implement, and optimize end-to-end model development workflows in Databricks, ensuring seamless integration, reproducibility, and scalability of AI/ML models.
• Direct the design and implementation of acquisition and account management strategies, ensuring alignment with organizational objectives and optimizing risk-reward tradeoffs for all retail lending products through rigorous champion/challenger methodologies.
• Serve as a trusted subject matter expert in agentic AI, machine learning, and RESL credit risk analytics, providing guidance and insight on complex issues, models, and strategies to support business objectives.
• Lead RESL advanced analytics and AI projects from conception to implementation, ensuring successful delivery and measurable impact.
• Build strong relationships and collaborate effectively with senior management, cross-functional teams, and external partners to identify business opportunities, resolve complex issues, and drive strategic initiatives to successful completion.

Benefits

• competitive salary
• incentive pay
• banking benefits
• a benefits program
• defined benefit pension plan
• an employee share purchase plan
• a vacation offering
• wellbeing support
• MomentMakers, our social, points-based recognition program
• Purpose Day; a paid day off dedicated for you to use to invest in your growth and development