Citi Group Control Testing Automation Data Science Sr Analyst C11 - DS 

India, Karnataka, Bengaluru 

77898929

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.

Expertise required:

Data Analysis and Modelling:

• Use statistical modelling analysis, Machine Learning, Data mining techniques to extract actionable insights from large and complex datasets.
• Develop model to forecast trends, identify patterns and solve various business challenges.
• Conduct exploratory data analysis to uncover hidden relationships and opportunities for optimizations.

Algorithm Development:

• Design, develop, deploy advance algorithms to solve complex business problems.
• Optimize algorithms for scalability, performance, and accuracy.
• Stay abreast of the latest advancements in Machine Learning and Artificial Intelligence and continuously improve modelling techniques.

Collaboration and communication:

• Collaborate with Model Risk Management and Data Engineers, business analysts, product managers to define project requirements and deliver solutions.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Act as subject matter expert on Data Science methodology and best practices.

Data management and governance:

• Work with Data engineers to ensure availability, quality, and integrity of datasets.
• Develop and implement Data governance procedures to ensure compliance with regulatory requirements and industry standards.

Domain Skills

• Good understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.)

Functional Skills

• Business risk, controls, compliance, and data management.
• Nice to have
  - Knowledge of Finance Regulations, Understanding of Audit Process

Soft Skills

• Should have good communication and inter-personal skills.
• Mentoring junior members in the team
• Ability to thrive in a dynamic and fast-paced environment.
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
• 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)
• 5-8 years of 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
• At least an introductory understanding of LLMs and prompt engineering
• Hands on application experience using common ML frameworks such as TensorFlow, PyTorch, OpenAI and LangChain
• 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 Story telling skills to provide recommendations and generate actionable Business Insights.

Time Type:

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