
Skills:
Product Knowledge – Understanding different types of CCTV cameras, DVR/NVR systems, storage solutions, and related accessories.
Sales & Negotiation – Ability to convince clients, handle objections, and close deals effectively.
Technical Understanding – Basic knowledge of installation, cabling, IP vs analog cameras, resolutions, and networking basics.
Lead Generation & Prospecting – Identifying potential customers through cold calling, networking, and online research.
Customer Relationship Management (CRM) – Using CRM tools to track leads, follow-ups, and sales progress.
Presentation & Demonstration – Conducting product demos and explaining the benefits of CCTV solutions.
Market Awareness – Understanding competitor products, pricing strategies, and market trends.
After-Sales Support – Coordinating with technical teams to ensure installation, troubleshooting, and customer satisfaction.
Reporting & Documentation – Preparing sales reports, quotations, and proposals for clients.
Basic IT & Networking Skills – Knowledge of IP addressing, PoE (Power over Ethernet), and remote access configurations.
Qualities:
Strong Communication Skills – Ability to explain technical aspects to non-technical customers.
Confidence & Persuasion – A convincing attitude to drive sales.
Problem-Solving Mindset – Ability to address customer concerns and provide suitable CCTV solutions.
Self-Motivation & Goal Orientation – Meeting and exceeding sales targets.
Customer-Centric Approach – Prioritizing customer needs and building long-term relationships.
Adaptability & Quick Learning – Keeping up with new technologies and evolving security solutions.
Team Player – Working effectively with technical teams, distributors, and internal sales teams.
Attention to Detail – Ensuring accurate sales documentation and configurations.

About Velosting
About
Velosting, which is a leading provider of a wide range of services, is committed to empower your business with reliable, secure and high-performance services. We offer a comprehensive range of hosting services and other than this, we also offer domain services, cPanel hosting, Plesk hosting, GPU servers, VPS, and cloud dedicated servers. As we are focused towards customer satisfaction, we esure providing you with seamless digital experience so that you can grow your business.
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Rest API, SQL
OOPS concept, Design Patterns, Spring boot, BDD framework,
UNIX/Linux
Basic Python
CI/CD Pipelines
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7. Improve the topline by ensuring the RFD Adherence and Dispatch Adherence as per target
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IBM Maximo (MAS 8.x preferred)
Java, Oracle 12c+, WebSphere
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SQL, scripting, troubleshooting
Experience leading tech teams and working with clients
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Grip is building a new category of investment options for the new-age of Indian Investors. Millennials
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Started in June’20, Grip has seen 20% month-on-month growth to become one of India’s fastest-
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In the News
- Money Control : Click Here
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● Young and fast-growing company with a healthy work-life balance
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○ Courage
○ Transparency
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Experience:5 to 10 Years
Package:Upto 16 LPA
Notice Period:Immediate Joiners
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What you will be doing:
As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -
- Dive into the data and identify patterns
- Development of end-to-end Credit models and credit policy for our existing credit products
- Leverage alternate data to develop best-in-class underwriting models
- Working on Big Data to develop risk analytical solutions
- Development of Fraud models and fraud rule engine
- Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
- Working on cutting-edge techniques e.g. machine learning and deep learning models
Example of projects done in past:
- Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
- Fraud model development, deployment and rules for EMEA region
Basic Requirements:
- 1-3 years of work experience as a Data scientist (in Credit domain)
- 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
- Strong problem solving and understand and execute complex analysis
- Experience in at least one of the languages - R/Python/SAS and SQL
- Experience in in Credit industry (Fintech/bank)
- Familiarity with the best practices of Data Science
Add-on Skills :
- Experience in working with big data
- Solid coding practices
- Passion for building new tools/algorithms
- Experience in developing Machine Learning models

