Citi Group Assistant Vice President Decision Science 

India, Karnataka, Bengaluru 

509312038

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.

Job Responsibilities:

• The incumbent will be responsible for building , implementing and managing the short term and long term capacity plan across all functions
• Promote a culture of data driven decision-making, influence stakeholders from different domains to adopt strategy driven by data and advanced analytics
• Design and build short term and long-term Capacity plan
• Build innovative strategies for optimal agent hiring and maximizing the ROI of the operational budget.
• Participate in discussion with business partner to design and implement the long-term and short-term capacity plan
• Lead efforts to develop and maintain model governance documentation and performance monitoring report
• Mentor Junior team member
• Foster a collaborative , open and agile delivery culture

Qualification/Required Skill Set :

The successful candidate should be both a self-starter and quick learner, have critical logical thinking capability, be able to work with minimal guidance and should have

• University degree in Statistics, Economics, Computer Science or related discipline with 7+ years of relevant experience in Analytics
• Excellent Stakeholder management skills
• Have good interpersonal and communication skill, coupled with proven experience working in a matrixed structure
• Experience in drafting model review document and working on model implementation
• Good Problem solving, Structured Thinking, Root Cause Identification skills along with ability to work in unstructured area
• Knowledge of building robust forecasting process using Time series Models
• Relevant experience in transforming data sets and performing quantitative analysis using Python and PySpark
• Working experience on Deep learning-based Time Series Model like LSTM etc.
• Knowledge of different optimization techniques and algorithm (eg. Queue theory based algorithm)
• Good presentation and Storyboarding skill
• Excellent Project Management Skills

Good to have Skill :

• Having Experience of using NICE and IBM PAW Tool
• Working experience in Banking and Financial Service domain

Relevant experience in Operations Analytics

Time Type:

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