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’s expected from you?
As a Specialized Analytics Manager, we are seeking an experienced analytics candidate who should be able to perform below behaviors in their day-to-day role:
Client Obsession – 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 – 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 – 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 – 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 – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
People Management – Should be prepared and proactive in gaining full understanding of your people’s performance, with ability to engage in honest, robust conversations and encouraging people to take personal responsibility for their own development
Strategic acumen – Should possess ability to see the big picture of business, identify and understand emerging trends, challenge status quo and design goals for growth
Communication skills – Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management.
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
Master’s Degree with 9+ 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, Numpy, Scikit-learn or similar packages in R.
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 5 years of experience implementing Machine learning algorithms such as Random Forest and Gradient Boosting in solving business problems such as recommender systems.
At least 3 year of experience implementing deep learning techniques like artificial neural network, convolutional neural networks and recurrent neural networks
Exposure to deep learning packages like Tensorflow, Theano and Keras.
Knowledge on latest cutting-edge technologies like reinforcement learning.
Strong background in Statistical Analysis
Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
Strong People management skills
Should have experience of working in onsite, offsite delivery model
Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
Experience in Credit Cards and Retail Banking
Should have excellent communication and inter-personal skills
Strong process/project management skills
Multiple stake holder management
Ability to guide and Mentor Juniors
Control orientated and Risk awareness
Employment: Full Time
Industry: Credit Cards, Financial Services, Banking
Job Family Group:
Specialized Analytics (Data Science/Computational Statistics)
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.
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