Join a dynamic team at the forefront of asset-backed financing, where your expertise in AI will shape the future of operational excellence and innovation in one of the world’s largest asset classes.

As a Business AI Strategist within the Residential Asset-Backed Credit team, you will leverage your expertise to review and enhance existing processes, develop intelligent AI solutions, and collaborate with a wide range of internal partners. Your work will directly impact the efficiency, productivity, and strategic direction of our business, offering broad exposure to the U.S. residential mortgage sector.

Job responsibilities

• Study and map current processes and procedures, identifying inefficiencies and opportunities for automation and enhancement.

• Design, develop, and implement AI-based tools, models, and agents to streamline workflows, improve decision-making, and enhance productivity across the team.

• Collaborate closely with internal partner groups (Trading, Sales, Banking, Diligence, Credit Risk, Market Risk, Research, Operations, Compliance, Technology, Accounting, Legal, etc.) to understand requirements and deliver scalable solutions.

• Lead the adoption of AI solutions, including training, documentation, and support for team members and stakeholders.

• Stay informed of advancements in AI, machine learning, and automation technologies; proactively adapt strategies to capitalize on emerging opportunities.

• Manage multiple projects simultaneously, ensuring timely delivery and alignment with business objectives.

• Ensure all AI solutions comply with regulatory requirements, data privacy standards, and internal policies.

Required qualifications, capabilities, and skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• 5+ years of professional experience in AI, machine learning, or data science, preferably within financial services or a related sector.

• Proven track record of designing and deploying AI solutions for complex, real-world problems.

• Strong programming skills in Python, R, or similar languages; experience with AI/ML frameworks.

• Ability to analyze and streamline complex, untidy processes and deliver scalable, efficient solutions.

• Outstanding communication and interpersonal skills; able to work effectively with diverse stakeholders and partner groups.

• Self-motivated, proactive, and results driven.

Preferred qualifications, capabilities, and skills

• Strong problem-solving and analytical skills.

• Experience with process automation, workflow optimization, and change management.