Senior Specialist, Full-Stack Engineer
The Bank of New York Mellon Corporation
ARSENAL, PA, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Data Analysis
Big Data
Computer Engineering
Software Engineering
Backend
Information Technology
Front End Software Development
Job description
We’re seeking a future team member for the role of Senior Specialist, Full-Stack Engineer to join our FINANCE REG RPTG TECH - team. This role is in Pittsburgh, PA.
In this role, you’ll make an impact in the following ways:
- Design and develop Regulatory / AI-powered solutions to solve complex enterprise data and analytics problems
- Collaborate with platform, data, and product teams to design & develop solutions
- Evaluate and experiment with emerging AI methodologies and frameworks to improve solution effectiveness
- Document solution design, assumptions, and algorithms for enterprise adoption
Requirements
Finance, Regulations, Artificial Intelligence (AI), Data Analysis, Product Design, Algorithms, Data Science, Computer Science, Mathematics, Financial Services, * Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field
- Experience: 2-5 years of software development; experience in the financial services industry is a plus
- Experience developing Front-End and Back-end.
- Bachelor’s degree in computer science engineering or a related discipline, or equivalent work experience required
- Knowledgeable about cross-platform interoperability (multiple platforms i.e. NT, Intranet, etc.), major tools in a toolkit for a specific platform and features of multiple toolkits.
- Strong logical reasoning and mathematical thinking
- Experience translating business problems into algorithmic solutions
- Ability to work with large and complex datasets
- Strong written and verbal communication skills for explaining complex concepts
- Exposure to AI assisted experimentation and evaluation frameworks
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