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 \xe2\x80\x93 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 \xe2\x80\x93 Data Science and Modeling team analyzes millions 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. What\xe2\x80\x99s expected from you? As a Spec Analytics Intmd Analyst (C11), we are seeking an experienced analytics candidate who should be able to perform below behaviors in their day to day role:

• Client Obsession \xe2\x80\x93 Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly.
• Analytic Project Execution \xe2\x80\x93 Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value.
• Domain expert \xe2\x80\x93 Individuals are expected to be domain expert in their sub field, as well as have a holistic view of other business lines to create better solutions. Key fields of focus are new customer acquisition, existing customer management, customer retention, product development, pricing and payment optimization and digital journey.
• Modeling and Tech Savvy \xe2\x80\x93 Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team.
• Statistical mind set \xe2\x80\x93 Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
• Communication skills \xe2\x80\x93 Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management.
• Strong project management skills.
• Ability to coach and mentor juniors.
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

Skillset you should possess The most important skill that our analyst should possess is their love for data and their eagerness for new challenges & solving new problems. Apart from these, they should also have the following skillset Basic Qualifications

• Bachelor\xe2\x80\x99s Degree with 5 years of experience in data analytics, or Master\xe2\x80\x99s Degree with 4 years of experience in data analytics, or PhD.
• Hands-on experience in Python or R programing along with strong experience in SQL.
• Comfortable working in packages such as Pandas and Numpy
• Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Well versed with necessary data preprocessing and feature engineering skills.
• At least 3 years of experience implementing Machine learning algorithms such as Random Forest and Gradient Boosting in solving business problems such as recommender systems.
• Strong background in Statistical Analysis
• Previous work in image classification, segmentation and object detection
• Self-motivated and able to implement innovative solutions at fast pace
• Experience in AI, Machine Learning, Deep Learning software frameworks

OTHER DETAILS

• Employment: Full Time
• Industry: Financial Services, Banking

- 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. Citigroup Inc. and its subsidiaries ("Citi\xe2\x80\x9d) 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