As a Model Developer 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
- Minimum 4 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