As a Quant Analytics Professional in our Finance team you will spend each day defining, refining and delivering set goals for our firm.
Job Responsibilities
- Lay out the modeling requirements for the pricing elasticity of lending & deposits products including mortgage, auto, card, business banking, wealth management etc.
- Work closely with business modeling team to build sound pricing elasticity models
- Analyze model inputs and model outputs to facilitate model development and model deployment
- Partner with business teams to apply the model output to business strategies
- Conduct in-depth analysis to help management understand the business impact of pricing strategies
Required qualifications, capabilities, and skills
- 10+ years of related analytical experience and 3+ years as people manager
- Banking experience in one or more US consumer credit portfolios (i.e., U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking)
- Knowledge of the Finance process especially Pricing, and macroeconomics
- Strong technical and statistical skills. Ability to synthesize data and communicate to leadership in a concise and effective manner, both verbally and written
- Focused attention to detail, analytical & inquisitive with high standards for quality and accuracy
- History of effective multi-tasking, expectation setting, and escalation of issues, where appropriate
- Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables. Ability to manage and prioritize projects across cross-functional groups. Agile experience managing initiatives, epics and kanban in Jira
- Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior-level individuals
- Able to work effectively under pressure and in a rapidly changing environment in order to meet deadlines
- Collaborative, team-oriented, passionate about supporting our internal / external clients
- Self-starter, able to take the initiative and operate independently on a daily basis
- Exhibited leadership and desire to oversee the development of junior team members
Preferred qualifications, capabilities, and skills
- Post-Graduation degree in a quantitative discipline; Math, Finance, Statistics, Economics or equivalent work/training is required; advanced degree is preferred
- Considerable experience in Python, SQL, UNIX. Knowledge of Tableau preferred, proficient in Microsoft Office suite of products (Excel, Word and PowerPoint)