Citi Group Spec Analytics Analyst - C10 BANGALORE 

India, Karnataka, Bengaluru 

58721141

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:

• 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.)
• – 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.

Time Type:

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