Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management.
Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities.
Essential Skills :
Strong verbal and written communication skills.
Strong research skills.
Python, R, SQL, Hive, Spark.
Statistical analysis : To understand and work around possible limitations in models.
Being able to develop hypothesis and test the Hypothesis with careful experiments.
Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas.
Should have experience with time series modeling.
Should have experience with optimization approaches.
Familiarity with the Big Data Ecosystem tools : Hadoop, Hive, Impala, Mahout, Spark (Spark SQL, MLLib), Hbase and be comfortable with the using the tools.
Strong experience in data manipulation using SQL on Hive / Impala or other Databases.
Experience in developing and deploying model with Mahout, Spark MLLib is preferable.
Must be proficient in programming either R / Python / Scala.
Should have experience in Financial services industry - Capital market would be preferable.
Should have exposure to Data Visualization tools : Tableau (Preferable) / Qlikview / Excel.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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