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Quantitative Services Innovations Professional (Data Science Group)

Chicago, Illinois;

Job Description:

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.

Requirements:
• University degree or higher in Computer Science, Mathematics, Financial Engineering, Economics or related quantitative field.
• 1+ 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.

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.

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

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.

Requirements:
• University degree or higher in Computer Science, Mathematics, Financial Engineering, Economics or related quantitative field.
• 1+ 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.

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.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21013391

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Javier Flores

Referral Bonus:

0