Manager, Decisioning Models

Requisition ID: 171976

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The world is changing faster than ever and so are we

“_Big data_”, “_machine learning_” and “_AI_” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

Our goal is to be nothing less than _The Leading Bank in The Americas_ by putting _Customers First._ Achieving this requires a _Winning Team_ that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

**What You'll do in this Role?**

As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support - from conception through execution and governance - the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

**Is This Role Right for You?**
- You believe, first and foremost, in always doing the right thing and doing things the right way
- You are both deeply curious and highly pragmatic
- You are comfortable with ambitious but realistic goals and are committed to achieving them
- You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
- You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
- You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
- You have a genuine love, passion and talent for programming, data, and predictive modeling
- You are comfortable initiating conversations and collaborating with diverse personalities
- You are committed to quality in everything you do - statistically, process and governance wise
- You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
- You are professional, motivated AND FUN. We mean it.
- Sample projects that you might work on include:_
- Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
- Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
- Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
- Lead the periodic review and maintenance of credit risk models / scorecards
- Identify, promote and lead process improvements for model development and monitoring
- Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards

**What Are We Looking For?**

To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a colla