Quant Analytics Lead Associate

Under some supervision, the Data Scientist is primarily responsible for the development, validation, documentation, and measurement of complex and high-impact statistical and machine learning models, leveraging cutting edge quantitative and computational techniques and technologies. This requires the associate to have in-depth knowledge of advanced statistical, mathematical and machine learning techniques as well as proficiency in programming using open-source languages. The ideal candidate should be able to work effectively with internal clients to better understand their business needs, dissect complex problems, propose appropriate quantitative solutions, analyze the needs and behaviors of present and prospective customers, and develop data-driven solutions to improve customer experience and achieve business objectives.
 

ESSENTIAL JOB FUNCTIONS

• Apply critical thinking skills and perform advanced analytics with goal of solving complex and multi-faceted business problems
• Translate business partner’s needs into advanced analytics projects and prioritize projects based on expected tactical and/or strategic business impact to quickly achieve goals
• Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations
• Perform advanced quantitative and statistical analysis and machine learning of large datasets to identify trends, patterns, and correlations that can be used to support client centric initiatives at various stages of customer lifecycle including acquisition, activation, utilization, relationship deepening and retention
• Know what type of algorithm to use and how to implement them
• Build prototype solutions to demonstrate ideas and prove concepts
• Proactively seek, build and consolidate new data inputs to improve model performance
• Perform model validation and documentation of newly developed predictive models to ensure they are following Model Governance Policy, Guidelines and OCC requirements
• Conduct annual model validations to ensure models are working as intended and the existing validation activities are sufficient
• Develop presentations to summarize and communicate key messages to senior management sponsors and other stakeholders

REQUIRED QUALIFICATIONS

• Solid quantitative/programming background with a graduate degree (Phd or Master) in quantitative fields such as Statistics, Engineering, Mathematics, Economics, Finance, Computer Science, or Operations Research
• 2+ years for Master’s Degree with hands-on experience developing and applying statistical/predictive methods using large data sets
• Hands on experience with Machine Learning and Artificial Intelligence
• Excellent quantitative, analytical and problem-solving skills. Solid Knowledge of statistical analysis (regression, decision trees, clustering, experimental design etc.) as well as machine learning algorithms to solve real world problems
• Experience working with large scale structured and unstructured data
• Intellectual curiosity, inquisitive nature, and desire to deepen knowledge
• Working knowledge of Python, R, SQL/BigSQL
• Effective communication and presentation skills
   

PREFERRED QUALIFICATIONS

• Knowledge of Spark, PySpark, SparkSQL, MLlib a plus
• Experience with cloud environment a plus
• Retail and Financial services industry experience a plus
• Able to translate ambiguous business problems into a conceptual mathematical framework
• Can work both independently and collaboratively