int(5941)
Mumbai, India

BI and Data Analytics Senior Leader

Our client is an International Bank who is in search of a Senior potential candidate for their Data Analytics and Business Intelligence team with strong understanding of Investment Banking/ Asset Management or Sales in the Banking domain.

Please contact Anita Shah or email your cv directly in word format with job reference no. Jo0000004771 to banking-India@theedgepartnership.com

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.

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Key responsibilities

  • Partnering with distribution stakeholders to identify opportunities for leveraging advanced analytics.
  • Embed analytics process in organizational decision making descriptive, diagnostic, and predictive analytics to drive better business outcomes for sales and marketing teams.
  • Building analytical frameworks for marketing measurement – A/B testing, campaign ROI, cost of acquisition modeling, lifetime value, etc.
  • In-depth data exploration and data mining to develop a deep understanding of client behavior.
  • Contributing to and enhancing data models and feature stores
  • Leveraging machine learning models / techniques to target opportunities and optimize processes.
  • Responsible for Business Development – Apply business / product / process understanding to identify opportunities to build depth in the function, move up the value chain from a complexity standpoint and work towards end-to-end ownership of appropriate tasks.

Role requirements

  • Good experience working into marketing and data science background.
  • MBA or advanced degree in Statistics, Math, Engineering, or other quantitative-focused field preferred
  • Experience using computer languages and machine learning (Python, sci-kit learn, tensor flow, PySpark, Google Analytics, etc.) to manipulate and analyze large datasets.
  • Knowledge of variety of machine learning algorithms (linear regression, logistic regression, SVMs, Tree-based models, neural networks, etc.) and techniques (cross validation, feature selection approaches, hyper parameter optimization, missing data imputation etc.)
  • Strong problem-solving skills, People manager with excellent communication skills both written and oral.
  • Understanding of Investment Management Business, Mutual Funds, Managed Accounts, and/or Separate Accounts preferable
  • Has worked with global teams.