Quant-Python Modeler

Job Description

About Northern Trust:Northern Trust provides innovative financial services and guidance to corporations, institutions and affluent families and individuals globally. With over 130 years of financial experience and nearly 20,000 partners, we serve the world s most sophisticated clients using leading technology and exceptional service. Working with Us:As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company that is committed to strengthening the communities we serve! We recognize the value of inclusion and diversity in culture, in thought, and in experience, which is why we are honored to receive the following awards in 2021:

• Gender Equality Index Member, Bloomberg
• Top Financial & Banking Company, Black EOE Journal, Hispanic Network Magazine, Professional WOMANS Magazine

We d love to learn more about how your interests and experience could be a fit with one of America s best banks and most sustainable companies! Build your career with us and apply today. Quant-Python Lead DeveloperThe quantitative development team within Emotomy will responsible for hosting and implementing the models from methodologies for Emotomy, which can be leveraged by other businesses. The Quantitative QA Analyst will work closely with the other quantitative development team members, business users and IT colleagues to implement python prototypes and test new models for portfolio management solutions (EMOTOMY), as well as support and enhance existing systems in that domain.Duties and Responsibilities include:

• Implement prototype for risk management, asset management models in a financial services setting.
• Implement an automation framework of test cases in the cloud to support and maintain quality of in house-developed java libraries.
• Write and review documentation for the implemented models and code libraries
• Implement standards, processes, and tools for numerical library testing and automation framework
• Review implementation of complex models and algorithms focusing on requirement verification and code quality. Conduct code review with peers and model developers and obtain their feedback.
• Provide production support for the numerical libraries and business systems as needed.
• Provide support to business users explaining the numerical output and investigating issues

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

• Software and Programming:

1. Extensive programming background is required, with an emphasis on numerical algorithms and scientific computing
2. Demonstrated experience developing and maintaining prototypes in a cloud based setting

• Mathematics and Quantitative Finance exposure with a demonstrates understanding in (at least) three of the following technical areas:

1. Portfolio Theory
2. Linear Algebra
3. Monte Carlo simulation
4. Numerical methods and optimization
5. Risk Measures
6. Statistical analysis

• Strong problem solving skills. Be able to accurately identify a problems source, severity, and impact to determine possible solutions and needed resources. Conducts necessary literature reviews and independent research to identify the most salient solutions to solve the underlying problems.
• Strong financial products knowledge and familiarity with markets, basic trading strategies.
• Good interpersonal, verbal and written communication skills. Able to explain highly technical information to different audiences with varying levels of technical expertise.
• Able to create technical documentation according to quantitative model documentation standards and explain complex and technical information in a clear and concise manner. Must demonstrate proven technical writing skills.
• A good team player.

Technical Skills:

• Expert level proficiency in Python is required
• Extensive development experience in cloud technology preferred.
• Experience with numerical libraries and/or scientific computing is required
• Experience with automated Quality Assurance frameworks is required (e.g. PyUnits,etc.)
• Experience with code repository, build and deployment tools (e.g. Git, GitHub, Jenkins)
• Experience in Agile/SCRUM framework preferred.
• Experience in a scripting language such as Java desirable.
• SQL knowledge is desired

Education and/or Experience:

• Graduate degree in a quantitative/computational field such as statistics, financial mathematics, quantitative finance, computer science, physics, mathematics

Additional Information,

Keyskills :
test casescode reviewqa analysisrisk managementproblem solvingcomputer scienceasset managementbusiness systemsquality assurancetechnical writingfinancial servicesproduction supportfinancial products