Specialized Analytics Sr Anlst - C12 - BANGALORE
Citi · India · 1d ago
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.
Citi Analytics and Information Management (AIM)
Citi AIM was established in 2003 and is located across multiple cities in India – Bengaluru, Chennai, Gurugram and Pune. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.
What do we do?
The US Consumer Cards (USCC) – Digital Sales & Marketing Team is a specialized function dedicated to understanding, measuring, and improving the servicing and marketing experience across all digital platforms. We are a dynamic and data-driven team focused on accelerating digital growth, enhancing customer engagement, and driving operational efficiency. By leveraging cutting-edge analytics and Gen-AI, we identify and act on opportunities to increase digital marketing engagement and revenue. We foster a culture of continuous learning and rapid experimentation to deliver impactful digital experiences that resonate with our customers. Our mission is to leverage data and insights to make our digital platforms the preferred channels for our customers, ultimately driving revenue and efficiency.
The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
- Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
- Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
- Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
- Incumbents in this role may often be referred to as Data Scientists
- Specialization in marketing, risk, digital and AML fields possible
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- 7+ years of relevant experience in data science, machine learning, or a related field.
- Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers.
- Must Have Other Skills: Strong Logical Reasoning Capabilities, Willingness to learn new skills, Excellent communication and interpersonal skills
- Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
- Hands-on experience working with large, complex, unstructured datasets, data warehouses and ability to pull data using relevant programs and coding
- Experience in working Credit Cards, Services, Banking & Markets Financial Services be nice to have
- Experience building GenAI solutions using LLMs and vector databases will be preferred.
Preferred Qualifications
- Experience in Big Data, Cloud, Spark, Hive.
- Credit card Business and P&L experience would be preferred.
- Knowledge of Adobe, Test & Learn and other web analytics tools.
Education:
- Bachelor's/University degree or equivalent experience in a quantitative field such as computer science, statistics, mathematics, or engineering. Master's degree preferred.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
609912
Technical Skills:
- Hands-on Experience in Python, SQL & Machine Learning (ML) is a must. Experience with PySpark is preferred.
- Writing clean, efficient, and well-documented code according to design specifications and coding standards.
- Knowledge of digital marketing and Credit Card business, and industry best practices is highly beneficial.
- Ability to guide and mentor the junior team members. Ability to build partnerships with cross-functional teams.
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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