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Citi Group Spec Analytics Analyst - C10 BANGALORE 
India, Karnataka, Bengaluru 
58721141

25.06.2024

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.
Decision ManagementSpecialized Analytics (Data Science/Computational Statistics)


Time Type:

Full time

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