Data Scientist for Compliance Systems Division primarily responsible for aggregating and analyzing data to create actionable insights to drive the results. Uses advanced statistical techniques to provide deeper understanding of data behavior and actions and collaborates with business partners to recommend improvements across the application. Identify opportunities to leverage statistical solutions to solve problems.
Responsibilities:
- Ability to run turn-key analytics from data acquisition, preparation, analysis and reporting
- Work with business users to understand the requirements and like to understand from their data
- Analyze what potential data is required for dashboards, modeling, statistical analysis and data mining
- Work with ETL experts to Transform and Prepare the data for Analysis
- Analyze compliance data to drive business satisfaction
- Create Visualizations and report to articulate technical results.
- Assist in development of automating predictive modeling for surveillance.
- Design, Analyze, validate and manage data requirements and deliverables for projects.
- Act as a liaison between technical development and business users and provide solution.
- Work closely with application teams and communicate effectively and proactively
Key Skills:
- Ability to independently manage, organize and prioritize multiple tasks and responsibilities.
- Very Strong in at least one statistical software package, preferably R
- Advanced skills in a scripting language such as Python, R, or Java
- Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages
- Knowledge of statistical, open source and/or enterprise level ETL and Analytics tools
- Proficient in data Classification, Clustering
- Good Understanding of data and mathematical techniques
- Strong organizational, analytical and design skills.
- Excellent oral and written communication skills.
- Strong SQL skills across various databases: ORACLE, SQL Server, DB2
- Experience with performance tuning and analysis
Other Skills (Nice to Have):
- Experience in working on an analytical tool like Spotfire, QlikView, Tableau etc
Qualifications:
- 5-7 years of experience working with real data
- Proven experience in data acquisition, data preparation, analysis
- Demonstrated experience with dashboards, modeling, statistical analysis and data mining
- A self-starter and team player that is assertive, independent and can manage multiple responsibilities
- Solid analytical skills with ability to start at a high level, working down to the detail.
- Advanced problem solving abilities
- Experience working with Global team
- Experience and Education:
- Bachelors’ degree in quantitative with one or more disciplines: Statistics, Applied Mathematics, Operations Research and Computer science engineering
- Prior Financial Industry experience in Tuning AML models preferred