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Required Experience:
1) 3-10 years in Adv Analytics, Predictive Modelling, Data Science and Machine Learning.
2) R Programming, R Studio, R Server/ SQL proficiency is a must.
Key Responsibilities:
- Coding, Programming and Development: The key responsibility is to perform hands-on coding and build new R models and/or make changes in relevant technologies and frameworks, ensuring project deliverables meet stringent quality and performance standards to existing R Studio Models.
- Client Engagement & Requirements Gathering: Independently engage with client stakeholders to understand data landscapes and requirements, translating them into functional and technical specifications.
- Support and Maintenance: Manage and Support R Models in production environment.
- API & Database Management: Integrate APIs and manage databases (e.g., Hive, Greenplum, PostgreSQL, Oracle) to support seamless data flows.
About the company
DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.
Job Description
Department: Risk Analytics
CTC: Max 18 Lacs
Grade: Sr Manager/AVP
Experience: Min 4 years of relevant experience
We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.
Responsibilities
- Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
- Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
- Should be able to handle multiple tasks and must know how to prioritize the work.
- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
- Design and build technical processes to address business issues.
- Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
- Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
- Communicate results and business impacts of insight initiatives to the Management of the company.
Requirements
- Industry knowledge
- 4 years or more of experience in financial services industry particularly retail credit industry is a must.
- Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
- Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
- Experience in portfolio monitoring, model monitoring, model calibration
- Knowledge of ECL/ Basel preferred.
- Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
- Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
- Expertise in either R or Python; SAS knowledge will be plus.
Soft skills:
- Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
- Ability to multi-task good communication and team working skills.
- Ability to manage day-to-day written and verbal communication with relevant stakeholders.
- Ability to think strategically and make changes to data when required.
Role :
- Understand and translate statistics and analytics to address business problems
- Responsible for helping in data preparation and data pull, which is the first step in machine learning
- Should be able to do cut and slice data to extract interesting insights from the data
- Model development for better customer engagement and retention
- Hands on experience in relevant tools like SQL(expert), Excel, R/Python
- Working on strategy development to increase business revenue
Requirements:
- Hands on experience in relevant tools like SQL(expert), Excel, R/Python
- Statistics: Strong knowledge of statistics
- Should able to do data scraping & Data mining
- Be self-driven, and show ability to deliver on ambiguous projects
- An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment
- Should have worked on Business Projects for an organization, Ex: customer acquisition, Customer retention.