Job Information
Citigroup Control Testing Automation Data Science Sr Analyst (C11) - DS in Bengaluru, India
Control Testing Automation Data Science Sr Analyst (C11) - 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 (https://policydirectory.citi.net/cpd/_layouts/15/DocIdRedir.aspx?ID=CPDPROD-13-11999&PgId=srch) . 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.
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.
Job Family Group:
Decision Management
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
Time Type:
Full time
Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.