Provides balanced analytical research by turning raw data into valuable insights that help to drive the Bank's actions and strategies.
Interprets and analyses data from multiple sources to come up with imaginative solutions to problems.
Key Responsibilities
Develop programming in Python, SAS, SQL or similar analytical development tools
Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise
Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics
Ascertain and apply strategies to identified business problems and existing organizational processes in order to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals
Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines
Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management
Maintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact
Utilize Python, SAS, SQL, Power BI or other analytical development tools with large data sets to design analyses and measure key metrics
Facilitate development and application of advanced analytic strategies and tactics
Support line of business analytical needs with dashboard/report development through Tableau and SAP BO
Requirements
Required Knowledge, Skills and Abilities:
Understanding of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.
Knowledge and moderate proficiency in R, Python (scikit learn, pandas, numpy, Jupyter etc.) SAS, SQL, MATLAB, C/C++
Experience with data visualization tools ex Power BI, Matplotlib and Seaborn
Excellent communication and presentation skills
Highly organized and experienced in leading/managing complex projects, initiatives and development
This is an Individual Contributor role.
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Data-oriented personality
Ability to manage multiple and competing priorities
Qualification & Experience
Mandatory
Bachelor's degree and Master's Degree in computer science, Engineering, or related field
Practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.
10 + years working experience as a data scientist or business data analyst, preferably in the financial services industry with at least 2 years of leadership experience.
Must possess relevant professional qualifications.
Desirable
Experience supporting large-scale or highly regulated financial institution