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Senior Manager, Data Analytics
Ref No.: 18-00606
Location: New York, New York
Position Type:Direct Placement
Start Date: 03/16/2018
Overview:
Our international banking client is looking to enhance its analytics and data science operations to support revenue generation, cost reduction, and risk mitigation business objectives. As part of the expansion of this function, we are looking for a Senior Manager to operate the Analytics Business Office, which helps capture the demand pipeline for analytics, run them through an analytics development lifecycle to implement models to production, and measure the effectiveness of the models implemented.

Responsibilities:
  • Coordinate with the business end users and Business Analytic organizations within Global Banking and Markets to understand and manage the pipeline of demand for analytics development
  • Design and implement the analytics prioritization model to determine the timing and sequencing for initiating new analytic projects
  • Assist the businesses in developing the lite business cases and rationale to justify the priority of the analytics project request
  • Assist the businesses in obtaining the required Legal, Compliance, Data Privacy and Risk approvals for the analytic project
  • Manage the tracking and management reporting of the analytics pipeline, from demand capture to business case development to prioritization decision to implementation
  • Assist in the documentation of the analytics/model development lifecycle, which includes:
    • Acquiring the data required for analytics and enabling access control
    • Identifying the tools and analytic techniques required to address the business case challenge
    • Implementing pre-production proof-of-value (POV) prototypes to demonstrate possible use of analytics to bring business value and demonstrate to senior business managers quickly, following a "fail smart” model
    • Implementing independent model validation and performance control processes
    • Implementing the production deployment process in concert with IT if the proof-of-value is successful
  • Coordinate with the Analytics and Data Science teams and oversee analytic team staffing and allocation to projects based on skillsets and resource availability
  • Schedule and conduct analytic peer review sessions where analytic project teams share work products and artifacts as part of model effectiveness and performance controls
  • Coordinate with teams of data scientists and analysts to drive the development of POV prototypes
  • Coordinate with Independent Model Verification and Validation teams to ensure that model control processes are followed
  • Coordinate with businesses to capture results and business outcomes of analytics project implementations, comparing actual results to intended outcomes
  • Prepare Senior Management reports for presentation to C-level / MD-level executives describing overall performance of analytic projects and business results


Skills Required
  • Knowledge and understanding of Global Banking and Capital Markets business processes
  • Knowledge of common banking analytics use cases, including customer segmentation, macroeconomic analysis, up-sell/cross-sell models, pricing, and margin optimization, credit and market risk analysis, AML and fraud analysis, asset liability management, financial stress testing.
  • Knowledge and understanding of advanced analytics techniques including clustering and classification algorithms, regressions, random forests, ANOVA for time series analysis, machine learning / deep learning techniques (Bayesian probabilistic modeling)
  • Knowledge of Big Data terms and analytic tools including Python, R / RHadoop, Anaconda, MADLib, Mahout, SPARK data frames and other common frameworks
  • Experience with business case development in Excel and financial models
  • Business Office Management experience, including project portfolio management, resource management and budget / financial management preferred
  • Experience leading advanced analytic projects
  • MBA preferred