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.

Consultant, Operational Risk Analytics, is a key member of the Risk Analytics Team, acting as an individual contributor in the development and maintenance of high quality risk analytics for Operational Risk models. The analyst will ideate, develop and test quantitative modelling and measuring techniques, and support other aspects of analytics including automation, data engineering and present ideas and result to leadership team. The role will cover several aspects of model lifecycle including development, monitoring, recalibration, and implementation of risk models in R/Python etc. This role will also support analytics (using PowerBI, PySpark etc.) and conduct deep dives around a multitude of Operational Risks to inform trends and themes to the leadership team.

Major Duties

• Research and evaluate quantitative approaches for model development; coding, testing and validation.
• Assist team members in the statistical model development, monitoring, implementation and model validation for Operational Risk models (AMA capital estimation, stress testing, legal entity Pillar II capital, capital allocation etc). Work on improving efficiencies and modelling activities that require enhancements for execution, standards and maintenance of risk models.
• Examples of some of the commonly used techniques used by our team include OLS and Logistic Regression, Time Series Regression, Monte Carlo Simulation, Decision Trees, Gradient Boost, Bayesian Inference etc.
• Perform analytics and deep dive around Operational Risk Data (Losses, Near-Misses, Wire Payment Errors, Risk and Control Self Assessments) to inform emerging trends and themes. Design dashboards using business intelligence and data management tools like Power BI, Databricks, R Shiny etc.

Skills Required

Sound knowledge of Probability and Statistics:

Experience in Data Science Projects:

Programming in R/Python/Power BI Prior experience in Banking and Financial Services

Experience:

24 months as Associate Consultant

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. #Made For Greater

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.

About Our Bangalore Office

The Northern Trust Bangalore office, established in 2005, is home to over 5,600 employees. In this stunning office, space, we offer fantastic amenities which include our Arrival Hub – Jungle, the Game Zone, and the Employee Experience Zone that appeal to both clients and employees. Learn more.