Responsibilities: (BFSI Domain In Home Lending)
- Leverage a wide range of data analysis, machine learning and statistical modeling algorithms and methods to solve business problems in the area Home Lending Decision science and MIS.
- Evaluate the current operational environment and identify opportunities to leverage advanced analytics.
- 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 operational 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.
- Become a subject matter expert and trusted advisor in the HL analytics discipline.
- Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.).
- Build and deploy prototype solutions to demonstrate ideas and prove concepts.
- Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, testing outcomes, etc.).
- Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.
- Work independently and collaboratively (as needed) within the team to achieve the desired outcomes of an analytical project.
- Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.
Experience and Technical Skills:
- 5+ years- experience using analytics skills to support business strategies. Preferred experience in predictive models, forecasting models and/or machine learning algorithms in a large-scale, corporate environment with 4+ years in financial services/Risk
- Must have demonstrated experience working with production-type applications and full knowledge of the code development life cycle (Dev, Test, Prod)
- Must have demonstrated experience in large scale data environments and the ability to work efficiently with very large data sets
- Proven ability to strategically manage complex, highly-visible analytical projects from concept through implementation
- Demonstrated ability to effectively manage all facets of the analytical project life cycle (data exploration, hypothesis testing, code development, testing/validation, model deployment, etc.)
- Superior Analytical Skills
- Outstanding critical thinking and problem-solving skills
- Has an engineering mindset-
- Self-starter mentality with the ability to delegate/collaborate with others
- Ability to translate ambiguous business problems into a conceptual analytical and technical architecture
- Passion for continuous learning and professional development
- Deep curiosity, creativity, and imagination
- Strong business acumen
- Ability to influence and become a trusted advisor
- Ability to partner closely with team members and business sponsors to clearly define the requirements of proposed solutions
- Ability to translate technical details, observations, and results in business language
- Proven effective communication and presentation skills
- Ability to effectively navigate an occasionally ambiguous, semi-structured work environment
- Ability to thrive in both independent and collaborative work environments
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