Developer – Big Data

Developer – Big Data

ProViso Consulting

Story Behind the Need:

• Business group: Global Risk Management (GRM)
• Provide a few sentences about what their OU does within the bank.
• Retail and Small Business Models, Analytics & Strategy (RMAS) develops and owns (end-to-end), the Bank’s Retail AIRB Capital Forecasting and Retail Decisioning Models (Originations, Account Management, Collections)

Project:

• Supports various core work and Regulatory/transformational projects

Candidate Value Proposition:

• You will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the regulatory capital models covering all of the Bank’s retail and small business product lines.
• This role will support a number of critical core activities in the Capital models space, along with contributions to critical Regulatory and transformational initiatives.

Typical Day in Role:

• You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Finance, Collections, Model Validation and Governance, Technology & Data, Compliance and Audit.

Candidate Requirements/Must Have Skills: Please provide the years of experience required for each requirement:

• Strong fundamental understanding of statistics
• 8+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
• 1 or more years of experience with big data platforms/integration (Hadoop, Spark, Hive, Avro)
• Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
• Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
• Knowledge and experience with credit risk models/scorecards

Nice-To-Have Skills:

• Proficient reading, writing and speaking Spanish
• Experience with credit risk forecasting and/or financial reporting frameworks
• Experience developing credit risk models / scorecards
• Experience working within loss forecasting, AIRB or IFRS9 frameworks
• Domain expertise with any retail & small business banking products and/or risk management practices
• FRM, CFA credentials
• Experience training and deploying machine learning models using common Python open-source frameworks (i.e., sci-kit-learn) and/or Python DevOps
• Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
• Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)

Soft Skills Required:

• A demonstrated history of analytic problem-solving and sound judgment
• Strong English-language verbal and written communication skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
• Able to work remotely and on-site on multiple activities simultaneously and meet deadlines

Best VS. Average Candidate:

• The Best candidate is someone with experience developing forecasting models (i.e. PD, LGD, EAD, etc.)

Education & Certificates:

• Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field

Candidate review and selection:

• 2 rounds of interviews:
o 1 – Manager’s peer 45min – 1 hour for behavioural, technical, critical thinking, logical questions etc.
o 2 – Hiring manager; 1 hour for behavioural, presentations, case study, etc.

Job Details

12098

Contract

Toronto

 





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