Application Deadline:
05/30/2026
Address:
100 King Street West
Job Family Group:
Data Analytics & Reporting
Join a team at the forefront of fraud prevention, where your expertise in data science directly safeguards millions of customers. As a Senior Specialist, AI, ML & Data Science, you will operate at the intersection of advanced analytics and real‑world impact—developing analytical solutions for current and emerging fraud patterns while driving strategic decision‑making across the enterprise. Your voice will influence senior leadership, your insights will guide operational action, and your creativity will be essential to solving complex and ambiguous problems. If you thrive in high‑stakes environments and want your work to make a meaningful difference every day—this is your opportunity.
***Please note this role is HYBRID (at least 2-3 days/week in the downtown office)***
Key Responsibilities:
- Leverages advanced analytical methodologies and technologies—including machine learning, deep learning, artificial intelligence, and graph‑based analytics—to mine and interpret large volumes of structured and unstructured data.
- Generates actionable insights, strategic recommendations, and decision‑support materials that enable business leaders to enhance performance and maintain competitive advantage. Also develops executive‑level PowerPoint presentations that clearly communicate analytical findings and business impacts to senior leadership and key stakeholders during periodic business reviews.
- Responds promptly to analytics requests from business partners and stakeholders, which may involve creating datasets, performing complex data analyses, developing automated solutions, and producing reports.
- Operates at a group- and enterprise‑wide level, serving as a specialist resource to senior leaders and key stakeholders.
- Applies deep expertise and creative problem‑solving to address unique or ambiguous situations and resolve complex, non‑routine challenges.
- Implements enhancements and process changes in response to evolving business needs, emerging risks, and shifting market or industry trends.
- Researches and evaluates emerging technologies, tools, and methodologies to develop innovative data and analytics solutions for business partners.
- Collaborates with data and analytics professionals and cross‑functional teams to optimize, refine, and scale analytical work into robust, enterprise‑ready solutions.
- Performs additional responsibilities or broader accountabilities as required.
Key Skills and Education:
- 5+ years of data science experience using Python and SQL, with strong proficiency in designing and deploying production‑grade machine learning and AI solutions, including modern AI and agentic AI systems.
- Experience in financial services, banking, or other regulated industries is preferred but not required.
- Familiarity with (or interest in) graph analytics and graph data modeling, including an understanding of how relationship‑based techniques can be used to detect complex patterns, uncover hidden networks, and enhance fraud detection. Candidates with foundational exposure (academic, professional, or self‑guided) or a strong desire to learn and grow in this area are encouraged to apply.
- Consulting and advisory expertise, with the ability to translate complex analytical concepts into practical business recommendations and guide stakeholders through data‑driven decision‑making and solution adoption.
- Clear, concise communication skills, capable of tailoring complex technical content to diverse audiences and ensuring alignment across technical and business stakeholders.
- Advanced PowerPoint and data‑visualization capabilities, with strong executive storytelling skills used to craft compelling presentations that influence senior leadership and communicate analytical insights effectively.
- Highly tech‑savvy, with the ability to quickly learn and apply new tools, technologies, and methodologies to solve complex data challenges.
- Strong analytical, problem‑solving, and critical‑thinking skills, with the ability to approach ambiguous or novel situations creatively and effectively.
- Effective collaboration and teamwork, with a focus on cross‑functional and cross‑group partnership to drive enterprise‑level outcomes.
- Proven ability to operate in environments with high ambiguity, adapting to evolving priorities, emerging risks, and complex organizational needs.
- Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or another quantitative discipline, or equivalent professional experience.
- Clear, concise communication skills, capable of tailoring complex technical content to diverse audiences and ensuring alignment across technical and business stakeholders.
- Consulting/influencing skills: Ability to translate complex analytical concepts into practical business recommendations and guide stakeholders through data‑driven decision‑ma