Financial Analytics

Our financial analytics team brings multi-disciplinary expertise in fields that involve financial theory,methods of engineering,tools of mathematics and practice of programming.Our experts help answer specific busines questions and forecast possible future financial scenarios.

Our Financial Analytics Solutions include:

  • Retail Finance: Credit Risk Modeling,Credit   Scorecards,  Collections   & Cash   Forecasting   (Markov Chains, Monte Carlo Simulation), Statistical Modeling,
    Customer Insight, Fraud Analytics, Customer Strategy Analytics,   Decision Science, Forecasting, Basel II/III.
  • Investment Banking: Credit Risk, Market Risk, Operational Risk, Basel Modeling (Wholesale and Retail), Economic and Regulatory Capital Planning, CCAR.
  • Insurance: Risk (Operational, Financial, Market), Compliance, Solvency II, Change Actuarial - Capital, Reserving, Pricing, Marketing, Risk, Validation.

Technologies we use

  • SAS (Base SAS, Advance SAS, Enterprise Miner, Enterprise Guide)
  • R (R programming, Rattle)
  • Python (Numpy, Scipy)
  • SQL (Microsoft SQL, Teradata SQL, Netezza SQL, Redshift SQL)
  • SPSS (SPSS Statistics, SPSS Modeler)
  • Scala, Spark, Hadoop
  • Rapid Miner
  • Knime
  • Interface with databases such as Oracle, Hadoop, Netezza, and Teradata