Quant Research and Analytics Technology, Sr Associate

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Northern Trust Asset Management Technology team is looking for an experienced leader to help drive requirements, analysis and implementation of technology deliverables in partnership with business product owners and quants across Multi Assets Analytics and Research. You will be responsible to lead and solve for complex business, logic, data and technical challenges in areas such as building models and other complex systems in close collaboration with business product owners and quants. You will be responsible for the end to end development cycle – from requirement gathering to the tech delivery of the end product.  You are expected to leverage both your technology skills along with statistics financial and mathematics abilities while working with smart, talented people across our business.

 Responsibilities

•        Collaborate with business product owners and quantitative teams to understand help drive technology platform and solutions to meet quantitative and analytics needs for Multi Assets and Quant Research business.
•        Deeply understand the goals and business context of ongoing muti assets analytics and investment strategies and provide strategic direction to develop the technology roadmap aligned with the business vision.
•        Lead development of code libraries and solutions that leverage and appropriately augment existing structures to meet the needs of the research-driven investment and analysis processes, often in the absence of clearly documented specifications.

• Lead and work with developers to identify which interim solutions (e.g., tools, applications, reports, data structures, etc.) have matured sufficiently to transition to a production environment, and produce specifications for such solutions, enabling IT to elevate strategically targeted prototypes to production. 
•        Identify and evaluate the most appropriate methods, tools, datasets and technology solutions to address requirements.
•        Partnering with Product owners and Quants to help implement models to inform the investment decision making process
•        Building large scale distributed computing programs to generate insightful analytics and present results in user-friendly visualization
•        Implement standards, processes, and tools for numerical library testing and code quality controls
•        Review implementation of complex models and algorithms focusing on requirement verification and code quality.
•        Innovate and improve proprietary models and algorithms; design and deliver in terms of high reliability, resiliency and scalability
•        Solves unique problems that have a broad impact and delivery of business value
•        Leads disciplinary or cross-functional initiatives of notable risk; uses sophisticated analytical thought to identify innovative solutions
•        Leverage program management skills to ensure in timely and under budget delivery of tech initiatives/programs. Furthermore, provide risk analysis at the project, program level to understand probabilistically timelines and cost estimates.
• Develop and implement Machine Learning, Deep Learning, and Reinforcement Learnings models in collaboration with Product & Quant teams, or as research projects as the business deem appropriate.
• Work with Product and Quant teams to help them scale the training and inference of their models, this may consist of re-architecting or re-writing applications to leverage state-of -the-art AI technologies for scaling AI models.
• Stay abreast of the latest AI models in the industry, such as LLMs, their applicability to Finance, risks, etc.
• Stay abreast of the latest versions of TensorFlow, PyTorch, and other leading edge libraries and ecosystems use in the AI industry.

Tech, business and leadership skills

• Strong domain skills –Quantitative Research, Risk, Equity Portfolio Management, AI etc.
• Works in many technologies and adapts fast to new technologies
• Adept with various architectures including real-time, batch, orchestration
• Adept with multiple parts of the software lifecycle (e.g., coding, validation/testing, automation of testing, development)
• Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately

Qualifications

• An advanced Computer Science, Math or Financial Engineering degree from a reputed institution.
• 20+ years of progressive experience in software engineering and quantitative analysis creating scalable solutions in the investment management financial industry
• Willingness and excitement to learn unfamiliar quantitative subjects or tools/technologies, as required on the job.
• Strong analytical skills; experience working with and analyzing large data sets
• Proficiency in coding, demonstrated interest in translating algorithms and models into production quality code
• Expert knowledge in multiple programming language(s) - Python, R, Java, C++, etc.
• Working knowledge of one or more relevant NoSql, columnar or big database technologies e.g. MongoDB, Hadoop /EMR , KDB/ OneTick
• Strong Test-Driven Development and desire to write simple, adaptive and iterative code
• A solid understanding of tradable financial instruments (securities, derivatives) and capital markets
• An advanced level of relevant mathematical knowledge e.g. statistics, time-series analysis, asset pricing theory, algorithms.
• Experience with algorithms and data structures
• Experience of front office software development with an Asset Management, Hedge fund or Investment Bank
• Experience building containerized applications and deploying to public or private clouds, such as Amazon Web Services (AWS), Microsoft Azure, or similar providers.
• Experience of web based development and visualization technology for portraying large and complex data sets and relationships

Working with Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.

We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater

Reasonable accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.

We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.