Salary
≈ $75k – $140k per year (Estimated)
Location
In office (London)
Seniority
Senior
Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Jul 10, 2026. BNY scores A on the Alion truth index.
Overview
Company
Impact
Profile match
BNY, formerly BNY Mellon, is a global financial services company headquartered in New York City, providing custody, fund administration, clearing, corporate trust, treasury and payments services, investment management through BNY Investments, and wealth management to institutions and individuals. Founded in 1784 by Alexander Hamilton, it oversees about 62.6 trillion dollars in assets under custody and administration and has large operations in Pittsburgh, Lake Mary, Manchester, London, Dublin and Pune. Hiring spans fund administration and client service, audit, data, AI and full-stack engineering, product management and analyst and summer internship programs.
We’re seeking a future team member for the role of Senior Specialist, Data Scientist to join our Markets team. This role is located in London.
In this role, you’ll make an impact in the following ways:
- Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency.
- Partner with cross-functional teams to design and implement data-driven solutions aligned to organizational priorities and business objectives.
- Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices.
- Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations.
- Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation.
- Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful business actions.
To be successful in this role, we’re seeking the following:
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred.
- Proficiency in programming languages such as Python, or SQL.
- Strong analytical and problem-solving skills, with the ability to interpret complex datasets and deliver actionable insights.
- Excellent communication skills, with the ability to present data-driven recommendations to both technical and non-technical audiences.
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