Control Testing Automation Data Science Sr Analyst (C11) - DS

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka
Senior level
Fintech • Financial Services
The Role
The Control Testing Automation Data Science Sr Analyst will perform data analysis and modeling to derive insights from complex datasets, develop and optimize algorithms, collaborate with various teams, manage data quality, and contribute to governance compliance. Additionally, mentoring junior team members and maintaining effective communication with stakeholders are key responsibilities.
Summary Generated by Built In

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. 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.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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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.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

Top Skills

Python
R
SAS
The Company
HQ: Kwun Tong, Kowloon
223,850 Employees
Hybrid Workplace

What We Do

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

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