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Business Analyst I Home Lending

4.00 to 6.00 Years   Bangalore   22 Mar, 2019
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional Areatatistics / Analytics
EmploymentTypeFull-time

Job Description

  • 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.
  • B.S or M.S. in Statistics, Engineering, Computer Science, Mathematics, Economics or related quantitative field
  • 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 with 5+ years of experience with demonstrated ability to code complex programs in SQL. Experience with Hadoop platform preferred.
  • Must have demonstrated experience working with production-type applications and full knowledge of the code development lifecycle (Dev, Test, Prod)
  • Must have demonstrated experience in large scale data environments and ability to work efficiently with very large datasets
  • 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 lifecycle (data exploration, hypothesis testing, code development, testing/validation, model deployment, etc.)
  • 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
  • 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 into 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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Keyskills :
business analysis ms office requirem

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