Senior Analyst AI Engineering and Automation
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Monthly Salary:
Posted:
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Job Summary
Youll thrive in this position if you are a motivated self-starter with strong technical fundamentals good communication skills and a desire to grow your expertise in AI-powered solutions within the finance space.
Key Responsibilities
- Develop and implementand implementAIsolutions;ensuring qualityperformanceand reliability in line with team standards and established procedures.
- Chip in to the teams adoption of best practicesin softwaredevelopment.
- Collaborate with stakeholders across finance and technology toimplement requirements and chip in to well-defined technical solutions!
- Collaborate efficiently within geographically dispersed teams
- Collect user feedback andparticipatein design iterations to improve usability and happiness!
- Work on solving sophisticated problems under the guidance of senior team members applying existingproceduresand escalating whereappropriate.
- Handle risks related to quality and delivery timeliness with awareness of the potential for significant schedule delays on interdependent work streams.
We expect you to have:
- Strongproficiencyin Python with a good understanding of its ecosystem and best practices.
- Proficiencywith AWS and cloud technologies.
- Knowledge with Visual Studio Code and other modern development environments
- Understanding ofGenerative AI concepts including Large Language Models (LLMs) and their practical applications.
- Proficiencywith version control systems particularly Git.
- Good interpersonal skills able to explain technical concepts concisely to team members and stakeholders.
- Experience:Approximately 2 to 4 years of software development experience with at least some exposure to AI/ML concepts or tools.
- Experience working in or supporting finance-related environments is a plus though not.
- Familiarity with RPA tools (e.g. Automation Anywhere Blue Prism) or web-scraping techniques is a plus.
- Familiarity with Spec-Driven Development Methodologiesa plus
- Experience with RPA (e.g. Automation Anywhere Blue Prism) a plus.
What do we offer you
Annual monetary bonus.
An opportunity to become a Nasdaq shareholder
Employee Stock Purchase Program Nasdaq stocks with a discount
Health Insurance Program
Flexible working schedule and hybrid way of work
Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays
Internal mentorship program get a mentor or become one
Wide selection of online learning resources e.g. Udemy
- Preferred Qualifications
Education:Bachelors degree in Computer Science Information Systems Mathematics or a related field; or equivalent work experience.
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives experiences and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
Required Experience:
Senior IC
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