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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