Quantitative Financial Analyst

Forecast Administration and Analytics employees possess a broad set of skills necessary to evaluate financial risk, produce regulatory reporting and evaluate portfolio risk for emerging, systemic, concentration and idiosyncratic risks.

They collaborate with business partners to identify risk mitigation strategies.

They possess high levels of skill in portfolio analysis, econometrics, financial analysis and data visualization.

Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches.

Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

Required:

• Ability to work in a large, complex organization, and influence various stakeholders and partners
• Self-starter; Initiates work independently, before being asked
• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Ability to work in a large, complex organization, and influence various stakeholders and partners
• Self-starter; Initiates work independently, before being asked
• Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
• Effectively presents findings, data, and conclusions to influence senior leaders
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
• Strong analytical and problem-solving skills
• Strong programming skills, e.g., Python or similar
• Experience using and developing cross-sectional models
• Experience implementing models into various production environments
• In-depth understanding of current modeling principles
• Experience using and developing simulations
• Experience using and developing stochastic models
• Experience using and developing time series models

Desired:

• Experience managing large data sets utilizing tools such as Hadoop
• Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
• Experience as an Oracle developer or with Oracle database, Oracle cloud
• Experience with data analytics tools (e.g., Alteryx, Tableau)
• Experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation
• Demonstrated ability to drive action and sustain momentum to achieve results
• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• Sees the broader picture and is able to identify new methods for doing things
• Demonstrated leadership skills; Ability to exert broad influence among peers
• Experience with LaTeX