Prospect 33's Global Data Lab aims to solve the critical challenge of preparing data scientists with limited financial services experience to become industry leaders by providing them with real-world project experience in a complex data and domain environment.
Requirements
- Must be strongly capable with SQL & Python (and relevant libraries)
Responsibilities
- Use the foundational data science skillset, such as SQL, python, and pandas, to solve problems around AML & KYC
- Experience common tools for ETL, data warehousing, and data governance
- Practice using different models and feature engineering methods to solve real-world problems
- Plan, lead, and execute large change initiatives in our simulated environment
- Strategically implement end-to-end data solutions
- Experience real-world model development with our proprietary methodology DaSMoDe(TM)
- Take a deep dive into the full project life cycle
Other
- Bachelor’s Degree
- A master’s degree in Data Science, Data Engineering, Data Analytics, Business Analytics, Computer Science, or other related fields OR an equivalent combination of education and experience or other credible Data Science Bootcamps
- If not in a program that is specifically related to data science then you must have significant data science project experience and/or 2 years of relevant work experience
- Time to dedicate to the program (roughly 10-15 hours per week)
- Prospect 33 is an Equal Employment Opportunity/Affirmative Action Employer. We are a diverse and inclusive company. Great talent is always welcome at Prospect 33 regardless of background, ethnicity, race, gender, sexual orientation, religious views, or even political views.
