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.