Data Analytics 5

Description

The company helps customers and businesses make sound financial choices and helps the communities it serves grow.

This role sits on the Consumer and Business Banking loss forecasting team. The team evaluates credit losses across mortgage and consumer portfolios and supports monthly and annual forecasts, drawing on technology, finance, statistics, credit, forecasting, modeling and credit strategy.

The role centers on forecasting and model risk governance. You will analyze forecast outcomes, judge their financial effect and give business partners useful insight. Banking or financial services experience is preferred because it helps you understand the credit environment the team works in.

Responsibilities

• Build and run big data and analytics projects that pull together large data sets, analyze them, interpret the results and turn them into recommendations the whole company can use.
• Gather data from several sources for your analysis.
• Find trends and patterns in complex data and use them to answer business questions and recommend actions.
• Interpret data and results using a range of statistical methods and tools.
• Present findings clearly and briefly so audiences can grasp the results and recommendations and decide with data.
• Work with different partners to build a full picture of the analysis.
• Track the outcomes of recommendations once applied and propose adjustments. Make sure data collection, data sharing and reporting on applied recommendations meet company standards.

Requirements

• Bachelor's degree in a related field or equivalent work experience.
• Five to seven years of statistical and/or data analytics experience.
• Preferred: experience in credit loss forecasting and forecast analysis.
• Preferred: experience with unsecured and secured lending.
• Preferred: hands-on ownership of models and/or familiarity with model risk governance.
• Preferred: banking or financial services experience, especially in credit, finance, forecasting, modeling or credit strategy.
• Preferred: ability to analyze forecast outcomes and understand their financial impact.
• Preferred: working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and geospatial tools, used to analyze and interpret data.
• Preferred: experience in analytics, advanced analytics or statistics, and predictive modeling.
• Preferred: strong analytical skills to extract, collect, organize, analyze and interpret trends or patterns in complex data sets.
• Preferred: demonstrated project management skills.
• Preferred: effective interpersonal, verbal and written communication skills.

Conditions

Disability accommodations are available during the application and hiring process.

Benefits

• Healthcare covering medical, dental and vision.
• Basic term life insurance, plus optional term life insurance.
• Short-term and long-term disability cover.
• Pregnancy disability and parental leave.
• 401(k) plus an employer-funded retirement plan.
• Paid vacation of two to five weeks, depending on salary grade and tenure.
• Up to 11 paid holiday opportunities.
• Adoption assistance.
• Sick and safe leave accrues at one hour per 30 hours worked, up to 80 hours per calendar year unless the law provides otherwise.