Citi Group Control Testing Automation Data Science Analyst C09 – DS 

India, Karnataka, Bengaluru 

319447099

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.

Roles & Responsibilities:

• Ask the right questions to understand the problem.
• Extract data from multiple data sources.
• Clean the data and remove all the noise.
• Integrate and Load Data to a centralized location (if needed).
• Perform exploratory Data Analysis on the data loaded.
• Choose the right Predictive or Machine Learning model for the problem.
• Apply those models and extract meaningful insights.
• Measure and improve results (if needed).
• Present results to seniors and make adjustments based on the feedback.
• Repeat the process to solve the problem.

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

• Good communication and inter-personal skills.
• Ability to thrive in a dynamic and fast-paced environment.
• Proactive approach in solving problems and eye for details.
• A strong team player

Qualifications:

• Bachelor’s degree in quantitative field (Computer science, engineering, mathematics, machine learning, statistics)
• 0-3 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.)
• Coursework related to Machine learning, 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
• Excellent verbal and written communication skills
• Problem solving and Storytelling skills to provide recommendations and generate actionable Business Insights.

Time Type:

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