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Citi Group Spec Analytics intmd analyst 
India, Karnataka, Bengaluru 
505975681

24.09.2024

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:

  • 5-8 years of relevant experience
  • Experience in developing deep learning architectures from scratch to solve complex predictive/forecasting or recommendation based problems
  • In depth understanding of fundamental sequence models (like RNN, LSTM, Attention etc.) and ability to drill down to mathematical level for the same
  • Must have fundamental machine learning skills along with advanced skills described above
  • Have the ability to retrieve and manipulate data
  • Possess analytic ability and problem solving skills
  • Working experience in a quantitative field
  • Willing to learn and can-do attitude
  • Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
  • Ability to build partnerships with cross-function leaders

Good to Have:

  • Working knowledge of advanced Transformer architectures OR Computer Vision architectures with conceptual/mathematical overview of the same
  • Expertise in PySpark environment and Keras/Pytorch ecosystems for building DL models from scratch

Education:

  • Bachelors/University degree or equivalent experience


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Decision ManagementSpecialized Analytics (Data Science/Computational Statistics)


Time Type:

Full time

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