Manager - AML Model Validation - Retail Banking

Designation : Manager - AML Model Validation (Retail Banking)

Location: Bangalore

Shift Time: 1pm to 10pm

Experience: 4-10yrs

CTC: 20-25LPA

Qualification : Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability.

Job Description :

Certification in SAS

Experience with statistical modelling

Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking)

Mantas and AML monitoring systems experience or other transaction monitoring systems a plus

Knowledge of the local/regional laws and regulations applicable to anti-money laundering

Strong statistics and data analytics academic background and knowledge of quantitative methods

Good knowledge of SAS, SQL, Hive, and/or other data processing languages (Knowledge of R is a plus)

Highly-skilled and good knowledge of MS Excel and VBA experience

Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls

Team working experience (demonstrated team player ability required)

Understanding of technical requirements, ability to communicate with Technical Support

Perform model independent validation of complex predictive models (decision trees, linear regressions, models for binary outcome) within the agreed schedule and ensure execution follows the global methodology and is in compliance with model governance policy, guidelines and OCC requirements.

Apply statistical methods to organize, analyze, and interpret data to perform model validations

Provide data pulls and reports directly from Oracle Database. Write efficient SQL and PL-SQL queries in complex Very Large Scale database environment. Monitor time and capacity used during query execution, design efficient query execution plans.

Provide technical support to the team by implementing automation tools and integrating MS Office Excel, Oracle Database and SAS platforms. Design technical solutions supporting complex data reporting and analytical tasks. Generate complex graphical data reports, including data crosstabs, scatter plots and statistical measures.

Ensure Data Quality and Reliability - Design and implement various Data Quality methods in SAS and Oracle database. Run quality checks against database and report all data issues. Detect data anomalies and identify source of data problems. Recommend data quality solutions.

Prerna
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