BNY Mellon
Job title:
Senior Associate, Data Scientist
Company
BNY Mellon
Job description
Job Description:Senior Associate, Data ScientistAt 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 #LifeAtBNY 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
, 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.
Expected salary
Location
Co Dublin
Job date
Sat, 23 Nov 2024 01:56:44 GMT
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