Senior Manager

You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm.; Your activities will include, but will not be limited to the following:
Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding policies and procedures.
Assess the data quality for model development and inputs to the model, providing recommendations to improve the data quality at the source.
Works hands-on in development, re-development and calibration of Credit Decision Scorecards and/or design Credit Risk strategies. Handling data and quantitative analysis to support modeling decisions.
Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity, and stability.
Detailing model techniques and interpretation of variables used in the models to be documented and presented to client Stakeholder.
Validation for the source data quality, forecast data quality as well as change management.
Drafting thorough technical documents for distribution and presentation to senior management, model developers, auditors, and regulators.

Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation.
Conducting in-depth research on existing and emerging policies related to best practices in the industry and contributing to the creation of whitepapers. Researching and contributing to artifact creation as required in a consulting role.
Qualifications we seek in you
Minimum qualifications
Hands-on experience in developing credit risk scorecards and credit risk strategies
Statistical modeling experience including regression, GAM, time series, Markov TPM, survival techniques etc.
Hands-on experience application of AI, ML, Deep Learning techniques (Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc.) for development of predictive models
Detailed knowledge of data analysis / analytics / mining techniques
Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets.
Strong scripting and automation experience using SAS/Python/R etc.
Master s degree in a quantitative discipline (Statistics / Economics / Finance / Data Science etc.)
Strong client management and communication/presentation skills written verbal.
Self-driven, proactive, can-do attitude. Ability to work under ambiguity and with minimal supervision.
Strong project management experience and demonstrated expertise in communicating and coordinating across multiple business units.
Strong project management orientation with ability to work under time-sensitive commitments.
Lead projects and teams - provide thought leadership, technical guidance, training, and oversight.

Preferred qualifications

Strong networking, negotiation and influencing skills.
Rich experience in BFS analytics credit risk modeling