Customer Sales Executive

2-3 years of sales coordination experience.

- Excellent communication and interpersonal skills.

- Strong organizational and time management skills.

- Ability to work in a fast-paced environment.

- Proficiency in CRM software and Microsoft Office.

- Strong analytical and problem-solving skills.

• Experience: Minimum 3 years
• Key Skills:
• Experience with Check Point policy creation, updating, and management.
• Ability to analyze logs and troubleshoot issues.
• Expertise in health checks and system optimization.
• Responsibilities:
• Define and push Check Point firewall policies.
• Perform regular health checks and log reviews.
• Ensure compliance with security best practices.
• Location: Bangalore
• Shift: General

The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )

About

Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.

The Engineering Challenge

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.

Purpose of Role :

- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.

CANDIDATE PROFILE :

- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.

We are looking for someone who:

- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.

- Identify & deliver appropriate analytics solutions

- Experienced in Analytics team management

Essential Duties and Responsibilities :

- Responsible for delivering high quality analytical and value added services

- Responsible for automating insights and proactive actions on them to mitigate collection Risk.

- Work closely with the internal team members to deliver the solution

- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution

- Use analysis and customer insights to develop value propositions for customers

- Maintain and enhance the suite of suitable analytics products.

- Actively seek to share knowledge within the team

- Share findings with peers from other teams and management where required

- Actively contribute to setting best practice processes.

Knowledge, Experience and Qualifications :

Knowledge :

- Good understanding of collection analytics preferably in Retail lending industry.

- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends

- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.

- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.

- Understanding of decisioning and portfolio management in banking and financial services would be added advantage

- Understanding of credit bureau would be an added advantage

Experience :

- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.

- Experience on working on Collection analytics is must

- Experience on handling large data volumes using data analysis tools and generating good data insights

- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences

- Excellent communication, presentation and writing skills Strong interpersonal skills

- Motivated to meet and exceed stretch targets

- Ability to make the right judgments in the face of complexity and uncertainty

- Excellent relationship and networking skills across our different business and geographies

Qualifications :

- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college

About TensorIoT

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Minimum Requirements: 

• Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
• Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
• Hands-on experience in MLOps (model deployment, maintenance)
• Hands-on experience with Docker.
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning  
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients.

Preferred Qualifications: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Some experience in creating cloud-native technologies, and microservices design. 
• Published scientific papers in the relevant domain of work. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

Responsibilities:

• Develop high-quality, reusable, and efficient frontend components using React.js.
• Collaborate closely with UI/UX designers and backend developers to translate design concepts into functional interfaces.
• Participate in architectural discussions and contribute to the overall frontend design and development strategy.
• Optimize applications for maximum speed and scalability, ensuring exceptional performance across various devices and browsers.
• Identify and address performance bottlenecks, troubleshooting and debugging frontend-related issues as they arise.
• Stay current with industry trends, best practices, and emerging technologies, and recommend their incorporation into projects when applicable.
• Mentor and provide guidance to junior developers, fostering a culture of continuous learning and skill development.
• Collaborate with the QA team to ensure the delivery of high-quality software through rigorous testing and code reviews.
• Contribute to the documentation of frontend architecture, coding standards, and best practices.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Minimum of 3 years of professional experience as a React Developer.
• Strong proficiency in React.js and its core principles, with a solid understanding of state management (e.g., Redux) and component lifecycle.
• Proficiency in JavaScript, HTML5, and CSS3, Bootstrap, JQuery with an eye for design and user experience.
• Knowledge of version control systems, particularly Git.
• Ability to write clean, maintainable, and well-documented code.
• Strong problem-solving skills and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills.

• Smooth onboarding of fellows post recruitment
• Understanding the pre-existing technical and other skills as well as improvement needs in each area throughout training and deployment
• Weekly monitoring of progress as well as key strength and improvement area of each fellow
• Planning remediation in consultation with training head and trainers, weekly/ daily check ins and query resolution to sustain high level of motivation
• Monitoring and taking steps towards maintaining high performance standards post deployment
• Implementing upskilling learning and development initiatives based on individual fellow requirement and ensuring consistent appraisal and manager satisfaction
• Continuously monitoring and improving the Fellows’ performance during training and on-site, as well as analyzing client feedback, upskilling needs, retention and billability

Desired Candidate Profile

• Minimum 10+ years’ experience in managing technical talent in either talent management or technical manager roles
• Training experience desirable
• Awareness of job role skill and capability requirement for data engineer or similar technical job role
• Experience in performance management and employment relations
• Strong coaching and mentoring capabilities
• High data-driven and process oriented mindset
• Strong interpersonal and communication skills
• Excellent relationship building skills
• Ability to influence and persuade and manage difficult conversations
• High levels of confidentiality

Ensures the Daily/Weekly/Monthly reporting are sent timely

Ensure Accuracy of data reported

Updates and analyzes monthly billing hours reports

Prepares daily status report to keep a check on internal targets

Review the collated data to drive inferences and trends to improve process performance.

Analyzes productivity and inquires into the causes of slippages.
Attends weekly review meetings with clients on various reports.

Customizes reports as required by clients.

Audits all MI prepared by the Executives

Ability to make things with in the TAT and SLA

Ensure data protection for all MI

Ensure controlled access levels for all stakeholders accessing the MI Folder

Hand of experience in advance Excel