As a Quant Analytics Senior Associate in our Business Banking Data & Analytics team, you will manage and support the Business Bankingteam by providing analytical data exploration, reporting on outcomes. Your role will encompass ad-hoc deep dives and dashboard build/automation with a focus on controls execution and monitoring. You will work directly with our internal clients to design, develop, implement, and monitor control outcomes from a data & analytics perspective. This role requires strong analytical and technical skills, resourcefulness, excellent problem-solving abilities, and effective communication skills.
Job responsibilities:
- Develop insights, methods, or tools derived from large datasets using various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations, visualization techniques, etc.
- Manage data from multiple sources and disparate databases to construct effective control monitoring solutions
- Improve and/or assess processes and controls in support of business results
- Lead partnership with one or more Stakeholders with strong understanding of business drivers and underlying data
- Collaborate with business owners to formulate quantifiable goals; advise on strategies and experimentation to achieve business goals
- Advocate for domain specific data needed to monitor control performance
- Drive automation efforts to provide efficient self-service solutions to stakeholders
Required qualifications, capabilities, and skills:
- PhD or Masters in a related field, or Bachelors with 2+ years' experience in a related discipline (Computer Science, Operational Research, Physics, Mathematics, Neuroscience, Engineering, Econometrics, Statistics, Other Sciences etc.) or equivalent
- Exceptional interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms and data structures with an ability to influence both internal & external business partners
- Proficiency in data analysis languages such as SQL, Python, SAS, R, etc.
- Experience in Big Data platforms, AWS Cloud, related technologies
- Strong analytics, interpretive, and problem solving skills
- Technical understanding of data extraction, transformation, and load processing
- Experience with server based applications used for straight-through processing and interactive reporting/visualization (e.g. Alteryx or Tableau)