Excel as a Senior Associate in the Markets Asset Servicing Operations Income team at a globally innovative bank that cherishes creativity and excellence

Job Summary

As a Senior Associate in the Markets Asset Servicing Operations Income team, you will promote the development and implementation of machine learning solutions to enhance our operational efficiency.  You will collaborate with diverse teams to identify and prioritize automation and process optimization opportunities.  You will also work across various products such as Prime Services, Equities, and Fixed Income, supporting income events with clients and counterparties across different regions.  Your role is crucial in executing the goals and objectives set to deliver our core business deliverables. 

Job Responsibilities:

Define and prioritize product features and requirements, leveraging both business insights and data science methodologies. Partner with data scientists and engineers to design, develop, test, and deploy ML models that address operational challenges. Analyze large datasets to extract insights and inform product decisions, ensuring solutions are data-driven and impactful. Monitor and evaluate the performance of ML models, iterating based on feedback and performance metrics. Communicate product vision, strategy, and progress to stakeholders, ensuring alignment with organizational goals. Oversee the product lifecycle from ideation to launch, including post-launch analysis and continuous improvement.

Required qualifications, capabilities, and skills:

Strong understanding of machine learning concepts, tools, and technologies, with hands-on experience in data science projects. Proficiency in data analysis and visualization tools, such as Python and low code tools such as Alteryx and Tableau. Excellent communication and leadership skills, with the ability to influence and collaborate with diverse teams. Experience with agile methodologies and agile product development processes. Ability to translate complex data insights into actionable business strategies. Strategic thinker with a passion for leveraging technology and data science to drive operational excellence. Adaptable and eager to learn new technologies and methodologies. Strong organizational skills and attention to detail, with a focus on delivering high-quality results.

Preferred qualifications, capabilities, and skills:

Bachelor’s degree in computer science, Data Science, Engineering, Business, or a related field. A master’s degree or MBA is a plus.