Full job description United States - New York Quantitative Analysis Global Wealth Management Job Reference # 306310BR City New York Job Type Full Time Your role Are you an innovative thinker? Are you focused on the details, even when under pressure? Do you enjoy delivering enhanced change capabilities across a range of business functions? We’re looking for a Director, Data Scientist to: Work with stakeholders to identify opportunities to leverage data to address business problems and drive business results. Mine and analyze data from various data sets to provide actionable insights. Build and deploy machine learning and statistical methods to optimize the business process and help with targeted marketing and sales efforts. Develop processes and tools to monitor and analyze model performance and data accuracy. Produce relevant documentation related to model performance, model review, and model governance. Drive and support data science efforts across different business areas. Aid data collection and curation, exploratory data analysis, model training, and delivery. Assist in different stages of model development. Qualified Applicants apply through SH-ProfRecruitingcc@ubs.com. Please reference 001539. NO CALLS PLEASE. EOE/M/F/D/V. #LI-DNI Detailed salary information: New York: the salary range for this role is $155,000 to $235,000. The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits. Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback. Your team Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients. You’ll be working in the GWM COO Americas team in New York, NY. Your expertise Education & Experience Requirement This position requires a Master's degree or foreign equivalent in Finance and Accounting, Economics, or related field of study plus four (4) years of experience in the job offered or as a Data Scientist, Research and Analysis Associate, or related occupation. Position requires experience with the following: finance industry data classification data clustering data optimization Random Forest PCA XgBoost natural language processing deep neural network Greenplum Python R SQL DB2 Dataiku Hadoop Tableau manipulating data, developing models, and deriving insights from data developing experimental and analytical plans for data modeling processes and A/B testing About us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. Salary information US Only: The expected salary range for this role is $155,000 to $235,000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see «Your role» section for detailed salary information. Join us At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?