Job description

Our client, a major international bank has an opening for a Quantitative Analyst with machine learning experience in its Jersey City office.

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. This 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.

Job Type: Full-time

Pay: $110,000.00 - $125,000.00 per year

Schedule:

• 8 hour shift

Ability to commute/relocate:

• Jersey City, NJ: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Microsoft Powerpoint: 1 year (Preferred)

Work Location: One location

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