Control Testing Automation Data Science Analyst 2 (C10) - DS

Control Testing Automation Data Science Analyst 2 (C10) - DS

About CITI

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.

About AIM:

Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world.

What do we do:

We have one formula for managing risk across the firm: our Enterprise Risk Management Framework. This consistency enables us to take an end-to-end view in how we identify, measure, monitor, control and report risks. We are also working to simplify, streamline and automate our controls—strengthening our ability to prevent issues, not just to detect them after they happen. When issues do appear, we should strive to understand the root cause. We can then apply those lessons-learned horizontally across the organization to prevent similar issues from arising elsewhere.

Roles & Responsibilities:

• Data mining or extracting usable data from valuable data sources.

•     Using machine learning tools to select features, create and optimize classifiers

•     Carrying out preprocessing of structured and unstructured data

•     Enhancing data collection procedures to include all relevant information for developing analytic systems

•     Processing, cleansing, and validating the integrity of data to be used for analysis.

•     Analyzing large amounts of information to find patterns and solutions.

•     Developing prediction systems and machine learning algorithms and presenting results in a clear manner

•     Propose solutions and strategies to tackle business challenges.

•     Collaborate with Business and IT teams.

Good to have skills:

• Fair understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.)
• Knowledge of Finance Regulations, Understanding of Audit Process

Soft Skills

• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.

• Ability to thrive in a dynamic and fast-paced environment.
• Proactive approach in solving problems and eye for details.
• A strong team player and a mentor for junior resources in the team.

Qualifications:

• Bachelor’s degree in quantitative field (Computer science, engineering, mathematics, machine learning, statistics)
• 3-5 years’ experience in Data science role
• Proficiency in programming languages like Python, R, or SAS

• Experience in Python and relevant libraries (Numpy, Pandas, Scikit learn etc.)
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. 
• Coursework related to Deep learning (NLP / OCR) and Programming
• Experience with big data platforms (e.g., Hadoop, Spark) and SQL databases
• Demonstrated ability to write high quality code, develop Machine Learning models.

Problem solving and Story telling skills to provide recommendations and generate actionable Business Insights.