Sr Quantitative Fin Analyst - Market Behavior Analytics Team

Key Skills

Big Data Technology, Design, Effective communication skills, Leadership Skill, Machine learning techniques, Marketing analytics

Job Description

Bank of America’s Global Risk Management business is looking for a Senior Quantitative Finance Analyst within the Market Behavior Analytics group. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications.

Key responsibilities include:

• Designing and building end-to-end surveillance systems, which include data transformations, data controls, modeling, scaling, and user interfaces
• Managing a team of highly skilled quantitative analysts and engineers and setting the direction of the team
• Interfacing with and influencing various stakeholders in business, modeling, and technology groups across the bank

Required Skills:

• Successful candidates will have a Masters or PhD in Computer Science or similar discipline, and at least 7 years of relevant experience
• Proven technical leadership in designing big data systems
• Proven technical leadership in building complex analytical models that use a combination of numeric, textual, and graph data
• Proven technical leadership in using machine learning to solve domain specific problems
• Experience in managing teams of size up to 10
• Ability to work in a large, complex organization, and influence various stakeholders and partners
• Player-coach who is able to simultaneously lead a team and work on projects individually
• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Ability to effectively presents findings, data, and conclusions to influence senior leaders

Shift:

1st shift (United States of America)

Hours Per Week:

40