Director - Analytics - Financial Services

Financial Services - Analytics - Director - Diversity

Financial Services - Director

Only Diversity candidates can apply

Exp - 15-24 yrs

Work from Home

Education: A Bachelor and Master's degree in a relevant field (Business, Economics, Statistics,

Engineering, Finance) from Tier 1 or Tier institute(s) only.

Experience: 15+years of Analytics experience with at least 8+ years of AI/ML & Data Science experience in the BFSI domain..

Required Skill:

- Experience in using AI and data science in a financial service industry to achieve business goals in large financial institutions and organizations.

- Deep knowledge of the financial services sector, with experience in machine learning, supervised and unsupervised learning, time series analysis, optimization and simulation techniques.

- Expertise on various algorithms having developed machine learning & statistical models using SVM, XGB, Random Forests, Logistic Regression, Ridge & Lasso Regression, and clustering solutions (K-Means, Density based clustering), etc.

- Knowledge of Neural networks (ANN, CNN, RNN), Bayesian method, Text-mining (NLP, Bert), Image Recognition would be a major plus.

- Experience on working on cloud platforms (Azure, AWS, Google Cloud) and deploying ML models in a client environment or on the cloud will be an added advantage.

- Strong programming skills on Python, R, SQL.

- Experience with Spark & other big data query environments is a plus. Exposure to SAS is a plus.

- Experience with visualization tools (Tableau, PowerBI, Spotfire, etc.) & automation tools (Alteryx, etc.).

- Project experience in typical use cases like claims analytics, fraud prediction, share of wallet, anomaly detection, recommendation engine, customer segmentation, etc.

- Developed POCs to help the business recognize the feasibility of an automated solution.