
Applied Ai Ml- Associate
6 days ago
You are a strategic thinker passionate about driving solutions in Applied AI ML. You have found the right team.
As a Applied AI ML Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm.
**Responsibilities**:
- Generate deep insights through data analysis and understanding of business processes, turning them into actionable recommendations.
- Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can enhance business performance.
- Identify and implement the appropriate algorithms effectively.
- Build and deploy prototype solutions to demonstrate ideas and validate concepts.
- Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.
- Collaborate with others in the organization to develop new ideas and brainstorm potential solutions.
- Contribute actively to the organization's continuous learning mindset by introducing new ideas and perspectives that challenge the group's thinking.
- Mentor junior team members.
**Required qualifications, capabilities, and skills**:
- Deep quantitative/programming background with a graduate degree (M.S., Ph.D.) in Statistics, Engineering, Computer Science, Mathematics, Operations Research, or Economics,
- Hands-on experience with Machine Learning models. Expertise in Python (mandatory)
- Significant experience working with very large scale (structured and unstructured) data
- Excellent written and oral communication skills to clearly present analytical findings and business recommendations. Highly motivated, productive, and teamwork oriented.
- Good project management skills (clear goal setting, well-organized, detailed planning, and ability for tight-timeline deliverables).
- Able to translate ambiguous business problems into a conceptual mathematical framework
- Passionate about continuous learning and professional development
- Deeply curious; creative and imaginative. Ability to influence and become a trusted advisor. Ability to convey complex concepts to non-technical audiences
- Effective communication and presentation skills. Can work both independently and collaboratively
**Preferred qualifications, capabilities, and skills**:
- 3-5 years of related experience preferred.
- Expertise in Pyspark (good to have)
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