Industry : Business
Sub Department : General - Technical / Engineer
Department : Technical Department
: Goregaon East
: Mumbai
: India
: 18 - 23 p.a (INR Lacs)
: 5 - 7 Year
Working Shift/ arrangement: US Shift (1:30 PM – 10:30 PM - IST), Flexible - Hybrid working model.
Department Overview - Merchant Banking The Company Merchant Banking business unit oversees investment management activities for Company, including the raising of new debt and equity capital, the formation of new ventures, the strategic acquisition and disposition of homes and the management and operation of Company's portfolio investments. The Merchant Banking business unit collaborates closely with the other Company business units, including the Development and Operator business units, as part of the fully integrated Company platform. The Company's Merchant Banking division is seeking to expand it’s global footprint in Mumbai, India, with a goal of establishing a strong team of professionals working across multi-disciplinary functional areas in close collaboration with U.S.-based personnel.
Job Description (Primary Responsibilities
• Communicate with internal business units & leadership team to identify most impactful areas for research and development in predictive analytics.
• Develop modern predictive analytics by utilizing deep knowledge of advanced data science toolkits.
• Use business intelligence tools such as Tableau for better visualization, dashboards and transparency of data analytics, driving insightful business strategies and improved business performances.
• Partner with data stewards to continuously improve data availability and quality while ensuring compliance with regulatory and security policies.
• Drive automation using SQL / Python / VBA.
• Partner with other teams in technology department to safely deploy the predictive analytics in scalable and controlled environment.
25, 28
Desired Skills/Qualifications:
• A bachelor’s degree in data science or analytics, computer science, mathematics, statistics, econometrics, financial engineering, computer or electrical engineering, or other related quantitative fields.
• 5+ working experience in related fields. Advanced degree preferred.
• A deep understanding of Machine Learning and Artificial Intelligence (AI)
• Proficiency with common data science toolkit such as SQL, Python (including Pandas, SciPy, Scikitlearn), Hadoop, Spark, TensorFlow,
• A strong understanding of statistics (especially algebra and probability theory) and financial economics (especially quantitative risk analysis and asset valuation)
• Experience with data visualization tools (e.g., Tableau) and statistical packages (e.g., SAS)
• Experience with analysis in housing and mortgage markets as well as fixed income
Skills/Qualifications:
• Strong analytical skills and ability to work as part of a fast-paced team.
• Business acumen to understand complex business problems and translate them into analysis that leads to actionable business insights.
• Strong communication skills (oral and written) to explain complex data and analytical problems.
• Willingness to learn and to explore new ideas, with independent thinking and attention to details.
• Strong work ethics, the can-do attitude and excellent interpersonal skills
Company's core values: