CITI
Credit Cards, Retail Banking, Financial Services, Banking
DataScienceAnalyst
Neural analysis suggests this role is
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“Data Science Analyst at CITI. Skills: Generative AI, Deep learning, Machine learning, Data Science. Build Deep learning/generative AI solutions. Model training/fine-tuning”
What You'll Achieve.
create actionable intelligence; identify fact-based opportunities for revenue growth; create economic value for the bank; create economic value; create client centric analytic solution
Industry & Context.
analytical and problem solving skills
What They're Looking For.
Must Have
Bachelor’s Degree with atleast 3 years of experience in data analytics, Master’s Degree with 2 years of experience in data analytics, SQL, basic statistics, hypothesis testing, segmentation, predictive modeling
Nice to Have
PhD, Experience in Credit Cards and Retail Banking, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Build Deep learning/generative AI solutions
Model training/fine-tuning
Design LLMs/GenAI applications
Document data requirements
Data collection/processing/cleaning
Exploratory data analysis
Apply Deep learning & generative AI models
Build model-driven solutions
Work with model governance & fair lending teams
Assess risk in business decisions
How You'll Work.
Team & Collaboration
Collaborate with team members; Collaborate with business partners; Build partnerships with cross-function leaders
Communication Scope
Communication skills; Ability to translate and articulate technical thoughts; influencing skills; Excellent written and oral communication skills
Process & Methodology
project management skills
Full Job Description
**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. **Analytics and Information Management (AIM)** Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. 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 North America Consumer Bank – Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank. The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems. **Role Description** * The role will be **Business Analytics Analyst 2 **in the Data Science and Modeling of North America Consumer Bank team * The role will report to the AVP / VP leading the team **What do we offer:** The Next Gen Analytics (NGA) team is a part of the Analytics & Information Management (AIM) unit. The NGA modeling team will focus on the following areas of work: **Role Expectations:** * **Client Obsession** – Create client centric analytic solution to business problems. Individual should be able t
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