Company Name:-
Northern Trust Corp.

Job Location:-
Bengaluru, Karnataka

Job Summary:-
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 WOMAN’S 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.

Knowledge/Skills:
Strong conceptual and technical knowledge of financial markets and related risk concepts is required.

Knowledge of statistics and econometric methods (regression, time series, applied multivariate techniques, statistical inference, non-parametric methods, optimization, etc.

) is required.

Experience in developing or validating/reviewing PPNR/Market and Liquidity Risk/Credit Risk models is preferred.

Excellent oral and written communication skills are required when interacting with committees and/or management.

Clarity of thought and ability to break down complex issues for problem solving are critical for this role.

Technical skills/systems knowledge (e.

g.

SAS, Python, R, MATLAB, Advanced Excel) and working knowledge of machine learning is strongly preferred.

Education:
Advanced degree in related field (finance, statistics, economics, mathematics, engineering) or equivalent career experience preferred.

Industry qualification is preferred.

Strong preference for candidates with certifications such as CFA/FRM/CQF
Major dutie

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