Senior Associate- Financial Analysis

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.