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” fed by “ complex processes” representing “ massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

Our Regulatory Capital Model Development team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring undergoes rigorous analysis and as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:

You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to technical logic, data flows and sources and accurately spec’ing out how our modeling and technology teams should use what you discovered.

We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

Is this role right for you? In this role, you will:

• You will work, day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modeling initiatives:
• Plan and manage initiatives,
• Map and / or re-engineer key processes, data flows and / or business rules
• Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
• Business, implementation and project plans that get executed to completion
• Business rules, financial formulae and algorithms
• Newly generated and retrofitted automated reporting
• Improved operational efficiency and effectiveness
• Quantitative analysis to support ongoing decision-making
• Recommendations of what else “we should look into / fix” next

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

General

• Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
• A demonstrated history of problem solving, technology implementation and sound judgement
• Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
• Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
• Able to work remotely and on-site on multiple activities simultaneously and meet deadlines

Technical

• Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
• 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
• Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools
• Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)

Nice-to-have's:

General

• Proficient reading, writing and speaking Spanish
• Domain expertise with retail & small business banking products and / or risk management practices
• Familiarity with credit risk models / scorecards
• Lean, Six Sigma, TQM or other process management frameworks and/or expertise

Technical

• An understanding of statistical prediction, estimation and forecasting models
• Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
• An appreciation for advanced statistical approaches used to assess and address uncertainty

What’s in it for you?

• An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
• We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
• Your career matters! You will have access to career development and progression opportunities.