Data Scientist - Python - BFS

Responsibilities:

- Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies

- Identifies and compiles data sets using a variety of tools (e.g. Python, SQL, Access) to help predict, improve, and measure the success of key business to business outcomes

- Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques

- Incumbents in this role may often be referred to as Data Scientists

- Specialization in marketing, risk, digital and AML fields possible

- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding the organization its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

- 8-12 years of experience

- Ability to communicate technical information to both technical and non-technical audiences required

- Problem solving, root cause analysis skills required

- Ability to focus on multiple priorities and drive solutions in a fast paced working environment

- Relevant work experience in data quality, data analytics, data management within the financial services industry required

- Outstanding analytical and problem-solving skills