Quantitative Services Innovations Professional - Data Science Group

Job Description:

The Quantitative Services Innovations Professional will support ongoing Data Science Initiatives. This includes working closely with different Operations, Technology and Business Partners in designing and implementing predictive models and analytical tools using latest machine learning techniques. This role will also include participation in all phases of Model development including Model development, Model validation, Model Governance and ongoing monitoring in a production environment.

The candidate is expected to work closely with the business analysts, business partners and other technology partners to gather requirements as part of process discovery. The Quantitative Services Innovations Professional will assist in software development and operational support of a reconciliation and machine learning based platform. This platform performs highly customizable reconciliations using innovative matching techniques including fuzzy logic and supervised learning-based machine learning techniques. The project has tight deliverable timelines and will require the right person to work with multiple teams within the bank including business partners, technology teams and operations groups. This role will also include participation in all phases of Machine Learning based projects built by our team including model development, model validation, governance, and maintenance.

Responsibilities

• The candidate is expected to work closely with the business analysts, business partners and other technology partners to gather requirements and successfully build, test and implement software solutions.
• Work with operations and business personnel to provide support for the recon process including new user onboarding.
• Assist analyst and end-users with applying mathematical matching algorithms to their problem statements.
• Use proprietary and open source machine learning libraries for developing supervised learning based solutions.
• Be engaged in full lifecycle of a machine learning project including model development, governance, and maintenance.

Required Skills: (Must have these skills to be minimally qualified)

• 2+ years relevant industry experience.
• Python programming experience.
• Experience or formal training with machine learning models.
• Strong technical background with proven experience working in an Agile software development lifecycle.
• Experience with database technologies.
• Experience with Excel/VBA.
• Successfully use advanced predictive models and analytics to derive insights from data to implement business strategy and automation.
• Conduct research to study latest developments in the field of Machine learning, Deep Learning and Natural Language Processing to solve real-world problems.
• Assess accuracy and sanity of data sources and implement efficient pre-processing processes.
• Author detailed model documentation for Regulatory audit and Model validation.
• Develop A/B testing framework to test Model quality and implement processes that monitor model performance in Production.
• University degree or higher in Computer Science, Mathematics, Financial Engineering, Economics or related quantitative field.

Other Qualifications:

• Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions.
• Excels in working among diverse viewpoints to determine the best path forward.
• Experience in connecting with a diverse set of clients to understand future business needs – is a continuous learner.
• Commitment to challenging the status quo and promoting positive change.
• Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base.
• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world.

Enterprise Role Overview:

Leads a large project or multiple projects that are significant in scope and impact. Works independently, with limited direction, and is evaluated through end results. May provide technical leadership. Interacts extensively with internal or external contacts to identify, research, analyze and resolve complex problems or to develop, sell or service significant revenue-generating products. Has extensive functional or professional knowledge. Key Responsibilities: Develops financial modeling tools for derivative products, applying the theory and mathematics behind various models. Builds out analytical and technical tools for validations of new models/methodology. Provides in-depth impact analysis or scenario analysis of quantitative measurements. Develops reporting of various risk metrics complied with business and regulatory requirements. Understands financial products across all asset classes and has extensive knowledge of technical implementations. Posses advanced degree in physic, applied mathematics, statistics/probability or another heavy quantitative discipline.

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