Manager - Model Development - SAS/R - Financial Services

Manager - Model Development - SAS/R

- End to end forecast process design which includes development of data extraction and transformation logic & build and deployment of predictive models.

- Use of adv. analytics techniques and machine learning algorithms to forecast key business metrics.

- Building Monthly, Bi-Monthly & Quarterly Revenue forecasting models for product groups, product sub-groups and profit centers using Regression Modeling,

- Time Series, ARIMA, GBM, decision Tree, Random Forest, Neural Net etc.

- Variance analysis for all the forecast models to help business understand the root causes behind the variation. Use the learning to improve the overall forecasting process.

- Proactively anticipates and prevents problems. Devises, facilitates buy-in, makes recommendations and guides implementation of corrective and/or preventive actions for complex issues that cross organizational boundaries and are unclear in nature.

- Develops innovative and effective approaches to solve predictive analytics problems and communicates results and methodologies..

- Collaborate with subject matter experts to enhance predictive models.

- Preparation of all the supporting documents and reports.

Desired Profile :

- Skills and Qualifications

- Strong SAS knowledge

- 4-8 + years of relevant work experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, GBM, etc.

- Must to have experience with common statistical tool, such as R and Python. Excellence in at least one of these is highly desirable

- Great communication skills

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Good scripting and programming skills

- Required Candidate profile

Education:

- Mandatory to have B.Tech./ M.Tech./ B.Sc./M.sc. in Mathematics/ Statistics from reputed university/ College

 Industry Type - Banking, Financial Services, Banking

Employment Type - Full Time, Permanent

Role Category - Analytics & BI

Education:

UG :B.Sc in Maths, Statistics, B.Tech/B.E. in Any Specialization

PG :M.Tech in Any Specialization, MS/M.Sc(Science) in Statistics, Maths