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Quantitative Services Professional - Global Markets Ops

In United States

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Quantitative Services Professional - Global Markets Ops   

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JOB TITLE:

Quantitative Services Professional - Global Markets Ops

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

New York, NY United States

JOB DESCRIPTION:

The Quantitative Services Data Science team develops solutions to improve operational processes at our client. Qualified individuals should have experience developing predictive or optimization models and the ability to work with business partners to define and execute the appropriate problem solving strategy that will result in meaningful impact. The right candidate for the role has a demonstrated track record of successful projects seeing the modelling and deployment efforts through to completion. This team values the intellectually curious individual that enjoys learning from their teammates as well as sharing what they have learned from others and through their own exploration.   The Team: The Quantitative Services Data Science team develops solutions to improve operational processes at our client. Qualified individuals should have experience developing decision support models and the ability to work with business partners to define and execute the appropriate problem solving strategy that will result in meaningful impact. The right candidate understands when models should be developed and deployed versus other types of Process Automation that the QS team could offer and demonstrates an ability to develop systems that may incorporate human-in-the-loop or other techniques to lower model risk.   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 document machine learning solutions. Work with stakeholders to understand the problem statement and propose the appropriate solution. Use proprietary and open source Python libraries for developing supervised, unsupervised, and deep learning based solutions. Actively participate in all aspects of the model development and monitoring lifecycles. Produce rapid prototypes to explore viable use cases for full model development routines. Conduct business and statistical analysis on bank owned data. Develop effective business solutions based on business needs. Prepare model document for the solutions you develop.   Required Skills: (Must have these skills to be minimally qualified) Minimum of 2 years of Python programming experience. Experience building a variety of machine learning, statistical, or optimization models, including hyper parameter tuning, sensitivity analysis, model performance and accuracy evaluation, and incorporation of models into production processes. Strong technical background with proven experience working in an Agile software development lifecycle. Experience with both SQL and noSQL database technologies   Desired experience: Master's degree or higher in Computer Science, Data Science, Operations Research, 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.

Position Details

POSTED:

Sep 24, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16541856328221662

LOCATION:

United States

CITY:

New York, NY

Job Origin:

OORWIN_ORGANIC_FEED

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The Quantitative Services Data Science team develops solutions to improve operational processes at our client. Qualified individuals should have experience developing predictive or optimization models and the ability to work with business partners to define and execute the appropriate problem solving strategy that will result in meaningful impact. The right candidate for the role has a demonstrated track record of successful projects seeing the modelling and deployment efforts through to completion. This team values the intellectually curious individual that enjoys learning from their teammates as well as sharing what they have learned from others and through their own exploration.   The Team: The Quantitative Services Data Science team develops solutions to improve operational processes at our client. Qualified individuals should have experience developing decision support models and the ability to work with business partners to define and execute the appropriate problem solving strategy that will result in meaningful impact. The right candidate understands when models should be developed and deployed versus other types of Process Automation that the QS team could offer and demonstrates an ability to develop systems that may incorporate human-in-the-loop or other techniques to lower model risk.   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 document machine learning solutions. Work with stakeholders to understand the problem statement and propose the appropriate solution. Use proprietary and open source Python libraries for developing supervised, unsupervised, and deep learning based solutions. Actively participate in all aspects of the model development and monitoring lifecycles. Produce rapid prototypes to explore viable use cases for full model development routines. Conduct business and statistical analysis on bank owned data. Develop effective business solutions based on business needs. Prepare model document for the solutions you develop.   Required Skills: (Must have these skills to be minimally qualified) Minimum of 2 years of Python programming experience. Experience building a variety of machine learning, statistical, or optimization models, including hyper parameter tuning, sensitivity analysis, model performance and accuracy evaluation, and incorporation of models into production processes. Strong technical background with proven experience working in an Agile software development lifecycle. Experience with both SQL and noSQL database technologies   Desired experience: Master's degree or higher in Computer Science, Data Science, Operations Research, 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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