You are a strategic thinker passionate about driving solutions in Data Analytics. You have found the right team.

As a AIML Professional in our Finance team you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities :

Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.  Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.  Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance.  Know what type of algorithm to use and how to implement them   Build and deploy prototype solutions to demonstrate ideas and prove concepts.   Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.   Become a subject matter expert and trusted advisor in the analytics discipline.   Collaborate with others in the organization to develop new ideas and brainstorm potential solutions.   Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group  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. Ability to write code and develop production-ready analytical applications. 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

Preferred qualifications, capabilities, and skills

3-6 years of related experience preferred.   Familiarity with Gen AI and its applications is good to have. Expertise in the following: Python (mandatory), Pyspark (good to have) Effective communication and presentation skills. Can work both independently and collaboratively