Solution Architect

Key Responsibilities:

Lead data and AI/ML initiatives tailored to investment banking or equity markets, aligning with business goals.

Architect, implement, and optimize end-to-end AI/ML solutions designed for large-scale datasets, ensuring scalability and efficiency.

Leverage AI techniques for data mapping and transformation, enabling seamless integration, unification, and enrichment of complex and heterogeneous datasets across diverse systems and platforms.

Drive cross-functional collaboration, bridging technical teams and business stakeholders.

Oversee data pipeline design, model development, and deployment with a focus on scalability and accuracy.

Drive compliance with policies/standards (e.g., data quality) and adoption of data governance capabilities.

Provide mentorship to teams, fostering innovation and excellence in delivery.

Influence and drive the adoption of front-end solutions to support data visualization and user experiences.

Qualifications:

12+ years of experience, including significant domain expertise in investment banking or equity markets.

Advanced degree in Computer Science, Data Science, or a related field.

Extensive hands-on experience with Python, big-data frameworks, and AI/ML platforms.

Proven expertise in designing and managing large-scale data ecosystems and leveraging AI for data integration and mapping.

Proficiency in front-end development for data visualization or user-centric tools.

Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and modern data infrastructure.

Exceptional leadership, communication, and strategic thinking skills to manage cross-functional teams and deliver impactful solutions.

Strong ability to thrive in fast-paced and high-pressure financial environments.