Deloitte | A&A – Assurance -DM- Data Analytics | Mumbai | Bharat | BigDataKB.com | 22 Oct 2022

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Job Location: Mumbai

Job requisition ID :: 48848
Date: Oct 21, 2022
Location: Mumbai
Designation: Deputy Manager
Entity:

Audit & Assurance

Data Scientist/Data Engineer

Requirements

  • Experience as a Data Scientist with experience in Data Analysis, Data Modeling, Data Validation, Data Cleansing, Data Verification, and presentation (Reports/Dashboards)
  • Fresher / Interns are also allowed to apply

Qualification/ Experience

  • BachelorMasters degree in Computer Science or a related field.
  • Certificate course in data science
  • Financial service industry experience (preferred for DM level position – for freshers not mandatory)
  • Past experience working with risk management teams in bank’s / NBFC’s would be add on.

Job responsibilities

  • Work with clients to identify opportunities for leveraging historic / external data to drive business solutions.
  • Mine and analyze data from client databases to drive optimization and improvement of product development, marketing techniques, business strategies and credit risk management.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, root cause analyses / credit analytics and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Technical Knowledge:

For Fresher

  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Understanding of Data Warehousing, Data lake storage, Data pipelines/flow development and transformations
  • Working knowledge of tools like Alteryx, Power BI and Tableau is also preferred

For DM/M level:

  • Experience in using Azure Microsoft PaaS technology, Azure data Lakes and Data Factory.
  • Preferred to have experience extracting data from variety of sources such as RESTful/JSON Web services, Flat file store, Social media and CRM tools (Copper, Salesforce, Hubspot)
  • Good to have experience with REST API, Web Services, JSON, Build and Deployment pipelines (Maven, Ansible, Git) and Cloud environments (Azure, AWS, GCS) is preferred.
  • Experience with Unix Shell scripting is a preferred
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience/knowledge in web development (Django, HTML, CSS, Bootstrap, javascript), Power Bi is a plus.
  • Strong understanding of storage, system, performance tuning, networking concepts and troubleshooting techniques
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

  • Credit Analyst Profile:

(AM / DM – experience with FSI industry for min. one year in business/credit risk management/consultancy around these areas)

  • Understanding of FSI banking / nbfc business / lending credit book (especially retail lending)
  • Understanding of Early warning signal (EWS) analysis
  • Fraud analytics on lending portfolio
  • Understanding of credit underwriting parameters
  • Part of internal audit – performing analytics and review scope
  • ICAAP / Capital Adequacy / RWA (risk weighted assets) / Capital planning
  • Delivering strategic programs which drive business optimization across the Risk division
  • Supporting the Risk division by defining its 3- 5 year Target Operating Model
  • In depth understanding of VaR, ES, Historical Simulation, Sensitivities based and Full-Reval approaches
  • User Acceptance Testing including building test plans, defect tracking and resolution and testing changes to core risk calculation engines and data management systems.
  • Excellent analytical and problem-solving skills




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