Senior Quantitative Engineer

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Northern Trust is looking for a Senior Quantitative Engineer to join its Technology Development Centre in Bengaluru, India in the Investment Management team. This individual as part of an Agile development team, will be responsible for analysis, design and development of Quant platform that manages Equity and Fixed Income research and trade generation using various Quant methodologies. Major Duties Work closely with existing business and research team Gather requirements from researchers and convert them to Tech specs and develop the models Ensure code meets standards and tested appropriate to the platform Provide technical guidance to the development team A team player with an ability to own the design and code as per requirement given. Communicate status (written and verbal) to project team and management Continuously looks for ways to improve the application’s stability, scalability and user experience 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. Innovate and improve proprietary models and algorithms; design and deliver in terms of high reliability, resiliency and scalability Review existing excel based models and convert them to latest tech stack while generating required signals. 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. Conduct code review with peers and model developers and obtain their feedback. Required Skills BS in Computer Science, Engineering, or Information Technology 12+ years of progressive experience in software engineering and quantitative analysis. Strong analytical skills; experience working with and analyzing large data sets, and using necessary libraries like PySpark, Pandas, Polars, Cuml, etc. Strong domain skills – Quantitative Research, Statistics, Risk, Equity Portfolio Management etc