Job title: Lead
Company: Northern Trust
Job description: Job Description: Quant Python Developer
For more than a century, Northern Trust has worked hard building our legacy of outstanding service, expertise and integrity. From a Chicago-based bank founded in 1889, we now have more than 20 international locations and 18,500 employees globally. We serve the world’s most-sophisticated clients – from sovereign wealth funds and the wealthiest individuals and families, to the most-successful hedge funds and corporate brands.
We burnished our reputation as a global leader delivering innovative investment management, asset and fund administration, fiduciary and banking solutions enabled by sophisticated, leading technology. And through it all, we continually laid a solid, forward-looking foundation on which future generations can continue growing and achieving greater.
As of September 30, 2019, Northern Trust Corporation had:
- $11.5 trillion in Assets under Custody/Administration
- $8.7 trillion in Assets under Custody
- $1 trillion in Assets under Management
- $130 billion in banking assets
The quantitative analytics team within Quants will responsible for hosting and implementing the models from methodologies for Quants, which can be leveraged by other businesses. The Quantitative Analyst will work closely with the other quantitative development team members, business users and IT colleagues to implement java/python prototypes and test new models for portfolio management solutions (QUANTS), as well as support and enhance existing systems in that domain.
Duties and Responsibilities include:
- Prototype for risk management, portfolio analytics, asset management models in a financial services setting.
- Automation framework of test cases to 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
- 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.
Qualifications:
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:
- Extensive programming background is required, with an emphasis on portfolio analytics, numerical algorithms and scientific computing
- Demonstrated experience developing and maintaining prototypes in a cloud based setting
- Hands on development experience integrating with analytics from FactSet, Axioma, Morning Star for portfolio optimization.
- Mathematics and Quantitative Finance exposure with a demonstrates understanding in (at least) three of the following technical areas:
- Portfolio Theory
- Linear Algebra
- Monte Carlo simulation
- Numerical methods and optimization
- Risk Measures
- Statistical analysis
- Strong problem solving skills. Be able to accurately identify a problem’s 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 java or python required
- 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.
- 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
Expected salary:
Location: Pune, Maharashtra
Job date: Thu, 07 Jul 2022 02:13:26 GMT
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