Data Science (Quantitative Modeling) Sr Associate

Key Skills

Data Architecture, Data Modeling, Data science techniques, Design, Java Programming, Machine learning techniques, Python Programming, SQL

Job Description

The CCOR Data and Analytics team seeks a candidate who is passionate about solving business problems through innovation and contemporary best practices in data science. The CCOR Data Science Associate will develop methodologies to analyze qualitative and quantitative data and synthesize data from multiple sources to identify potential areas of risk. The CCOR Data Science Associate will coordinate with both business and technology partners to identify and derive data of interest. The candidate will work in a collaborative and thought-provoking environment, and engage with a diverse set of stakeholders globally in an effort to drive actionable insights.

Responsibilities include:

• Collaborate across CCOR, as well as other data teams in the first-line, to deliver data-driven insights, recommendations, and solutions that solve important business problems
• Lead the research and development of data science initiatives to deliver these insights and solutions
• Manage the relationship with internal clients, gathering requirements, understanding business domain, presenting results, and developing a trusted adviser relationship
• Manage the lifecycle of data science project, including ideation, data acquisition, exploration, model design, prototyping, and pathway to productionization
• Partner with the engineering and data platform teams on the creation of capabilities which accelerate data science delivery and operationalization
• Work independently and collaboratively (as needed) within the team to achieve the desired outcomes of data science efforts

Qualifications:

• Bachelor’s Degree in relevant technical or quantitative fields (e.g., Mathematics, Engineering, Finance, Business, Physics, Statistics, Operations Research and Economics); graduate degree a plus
• Proven analytical and statistical skills applied to advanced analytics, modeling, machine learning
• Proficiency in multiple modern programming languages, including skills in Python, SQL at a minimum
• Strong visualization skills and familiarity with BI / user interface tools
• Experience delivering data science capabilities on a cloud platform
• Expertise in application, data, and infrastructure architecture disciplines
• Knowledge of industry-wide technology trends and best practices
• Knowledge of second-line operational risk management and compliance practices, and associated control principles
• Passionate about building an innovative culture
• Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
• Demonstrated verbal and written communication skills
• Strong organizational and multi-tasking skills with demonstrated ability to manage expectations