Role Responsibilities:

• Manage and analyze raw data in order to build algorithms to provide data-driven business insights and high-impact ML models to generate significant business value.

• Work closely with FPA digital team members, finance leads analysts to understand areas of KPI and convert problems/queries related to those KPIs into a data science problem (AI/ML).

• Leverage data to help the business answer questions around revenue levers, process optimization, cost optimization, customer acquisition/retention/churn, and any other business goals that can be addressed through data insights

• Build, validate, test, and deploy machine learning/data science models to predict and optimize the financial metrics- revenue, cost, etc.

Skillset Experience required:

• Expert knowledge of statistical algorithms used for supervised (classification and regression) and unsupervised learning ( clustering)

• Rich experience in Classification techniques- (Decision tree, Bayesian classifiers), Ensemble Methods-(Random forest, GBM), and association mining

• Forecasting Techniques- ARIMA, Logistics Regression, Time series forecasting Optimization techniques for prescriptive analytics.

• Rich experience in Clustering (Nearest neighbors, hierarchical clustering)

• Univariate Multivariate analysis, Feature engineering, Dimensionality reduction hyperparameter tuning.

• Stochastic modeling for uncertainty-based predictions- ( Markov analysis, Monte Carlo simulations).

• Exposure to Machine learning Artificial recurrent neural network (LSTM) for forecasting would be added advantage.

• Comfortable using structure languages like R/Python and hands-on experience using libraries like sci-kit-learn, NumPy, pandas, TensorFlow, PyTorch, Keras, etc for building models.

• Prior experience building machine learning Pricing consumption revenue models .

• Minimum 5 yrs experience and exposure to Financial domain/Saas Organizations.

Education

• Master s Degree/PHD (preferably Ph.D.) in a quantitative field (Applied Mathematics, actuarial sciences Economics and Statistics/ Data Science) from Tier1/2 institution ( IISc, IIT, NIT, etc.)

• Formal education/certificate on AWS/GCP cloud platform or analytical tool like- SAS, Matlab, and with the understanding of analytical offerings. #LI-Onsite #LI-SG1