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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | Finance / Accounts / TaxSales / BD |
| EmploymentType | Full-time |
* Duties and Responsibilities - Explore various Data Sources in the Organization. Extract insightful and actionable information by doing comprehensive Exploratory Analyses. Explore various statistical techniques and develop analytical models to identify investment profile prospects from inhouse data Campaign Analytics and execution Explore various Statistical Techniques and their Business applications to bring efficiency in business. Develop propensity models to identify best prospects for investment products like Fixed Deposits, Mutual Funds, etc. 4. MAJOR CHALLENGES (Challenges faced on an on-going basis in carrying out the job) Customer Prospecting from inside and outside organization Models Development for investment products Reports automation 5. DECISIONS (Key decisions taken by job holder at his/her end) Data DOE s Campaign Designs 6. INTERACTIONS (Key working relationships a job holder needs to have INSIDE and OUTSIDE the company to accomplish the job) Internal Clients Roles you need to interact with inside the organization to enable success in your day to day work Central Business Intelligence Unit Data science unit Sales Product External Clients Roles you need to interact with outside the organization to enable success in your day to day work External Data vendors/partners for data acquisition/enrichment 7. DIMENSIONS (Key numerical data which will reflect the scope and scale of activities concerning this job) Financial Dimensions (These should be quantifiable numerical amounts) 5% Conversion on identified prospects/campaigns 50Cr volume in FY 21 Other Dimensions (Significant volume dimensions associated with the job) Total Team Size: 1 Number of Direct Reports: 0 Number of Indirect Reports: 0 Number of Outsourced employees: 0 Number of locations: 0 Number of products: 3 , * a) Qualifications and Skillset Qualifications: B.E./B.Tech./M.Sc. (Statistics/Mathematics) from Reputed University without any gap in the education. Skillset: Very good exposure to SQL (Mandatory) Introductory R/Python MS Office Knowledge of ML algorithms like Clustering, Regression, Classification, etc. Good exposure to various dashboard and reporting tools like SSRS, Tableau Strong Analytical and real-life problem-solving skills. Innovative thinking and optimal Solution Development. Good working knowledge on the latest Tools & Techniques in the Advanced Analytics/Data Science space Strong Project Management skills. Strong Presentation and Documentation skills. Innovative thinking and optimal Solution Development. b) Work Experience 3-4 Years
Keyskills :
bankingfinance filingmis nbfcms office mutual fundsdata science fixed depositsreportin