





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.

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Founded in 2016 by IIT Delhi graduates Utkarsh Kawatra & Vinayak Agarawal, myHQ is India’s largest flexible workspace solutions platform. Present across 10 cities, enabling tens of thousands of people to make magic everyday. We are changing the way commercial real-estate works by providing everyone with the freedom and flexibility to work any-where and any-way they like.
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Previous experience at working at a start-up
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What’s the interview process like?
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About Us
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Description:
For over 10 years, Zscaler has been disrupting and transforming the security industry. Our 100% purpose-built cloud platform delivers the entire gateway security stack as a service through 150 global data centers to securely connect users to their applications, regardless of device, location, or network in over 185 countries protecting over 3,900 companies and have detected 100 Million threats/day.
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