Senior Associate, Data Scientist

Job Description

Senior Associate, Data Scientist

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about.

We’re seeking a future team member for the role of Senior Associate, Data Scientist to join our AI Hub Engineering team. This role is located in Dublin, Ireland and will be working in a hybrid capacity. (3 days a week in the office).

In this role, you’ll make an impact in the following ways:

• Develop AI/ML and Generative AI / LLM models to address challenging and impactful business problems for BNY, from proof of concepts to production-level deliverables, and produce thorough model evaluation and documentation in order to support decision and assess model risk
• Define, create and maintain actionable insights using data science and statistical assessment. Prepare analysis to provide business decision-supporting facts
• Thoroughly evaluate models and produce supporting documentation, thoroughly assess analysis results to ensure correct business decision-supporting
• Develop innovative solutions and produce patent disclosures to demonstrate RD&I
• Collaborate with colleagues and subject matter experts (SME) to obtain data and domain knowledge needed to conduct advanced reviews.
• Continuously support and develop skills across AI/ML and GenAI and increase the business acumen
• Stay up to date with the latest advances in AI/GenAI, technology innovations and banking industry trends. Share the findings with the team, recommend areas for improvement, and promote adoption of AI tools and platforms.
• Be proactive and autonomous in solving problems, demonstrate a strong sense of ownership and urgency
  
  

To be successful in this role, we’re seeking the following:

• PhD's degree in STEM degrees, or equivalent work experience with experience preferred in related fields (experience in financial data review is a plus)
• Good understanding of applied data science, ML, NLP (e.g. feature engineering, supervised/unsupervised learning, predictive analytics, clustering, anomaly detection, sentiment analysis, entity recognition), and GenAI/LLM
• Strong and proven hands-on experience implementing solutions (e.g. Python, scikit-learn, pandas, keras, TensorFlow/PyTorch, GPT models)
• Strong communication skills (presenting, writing) and highly collaborative mindset
• Innovative mindset and creative thinking demonstrated by publications and patents
  
  

At BNY, our culture speaks for itself. Here’s a few of our awards:

• America’s Most Innovative Companies, Fortune, 2024
• World’s Most Admired Companies, Fortune 2024
• Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
• Best Places to Work for Disability Inclusion , Disability: IN – 100% score, 2023-2024
• “Most Just Companies”, Just Capital and CNBC, 2024
• Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
• Bloomberg’s Gender Equality Index (GEI), 2023
  
  

Our Benefits And Rewards

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.