
Relationship Manager_Retail_Insurance Broking
at Hunarstreet Technologies pvt ltd
Relationship Manager – Insurance Sales.
Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained.
Achieving Sales Target
Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills.
Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities.
Building and maintaining strong relationships with agents, providing support and addressing their needs.
Tracking agent performance, identifying areas for improvement.
Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability.
Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network.
Required skills
- Proven working experience as an Insurance Agent or relevant experience from Insurance Broking Industry
- Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
- Basic computer knowledge and statistical analysis

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As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:
C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.
Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.
Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.
Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.
Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.
Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).
Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.
Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.
Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.
Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.
Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.
Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.
Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.
Review Criteria:
Mandatory:
- Strong UAT / Functional Test Lead Profiles
- Must have minimum 7 years of overall testing experience, with at least 3 years of recent UAT experience, primarily in manual testing for large enterprise or government project
- Must have worked on minimum 2 national-level e-Governance, public sector, enterprise, or marketplace projects in a UAT lead or ownership role
- Must have 3+ years of team handling experience, leading 7–8 QA/UAT members, including task assignment, review, mentoring, and delivery ownership
- Must have complete ownership of UAT activities, including UAT planning, execution, acceptance sign-off, defect management, retesting, and regression cycles.
- Must have strong hands-on manual testing experience, with the ability to create test scenarios and test cases from BRDs, user stories, functional documents, and Figma/UI screens.
- Must be able to understand HLD/LLD documents and API specifications and perform manual API testing based on business logic.
- Must have BE/BTech/MTech/MBA (BSc/BCA alone is not acceptable; with Bsc/BCA candidates must have a relevant postgraduate degree MCA/MTech)
Preferred:
- ISTQB Advanced Test Manager or equivalent is preferred
Ideal Candidate:
- 8 + years’ experience in UAT, with at least 2 National-level e-Governance solutions / Enterprise platforms / Marketplace projects.
- Proficiency in test planning, execution oversight, acceptance criteria definition, defect triage, regression cycle management.
- Proficient in understanding business requirements by going through BRDs, User Stories, Figma screens to define test scenarios and test cases.
- Ability to analyze high level and low-level design documents, API specifications to identify the business logic developed and create test cases to test the APIs.
- Hands-on experience of defining high quality test scenarios, test cases with ability to review and guide the test team members in doing the same.
- Education/Certifications: B.E./ B.Tech. / MTech/ MCA/ MS (Computer Science/IT)/ISTQB Advanced Test Manager or equivalent required.
Job Title: Laravel Developer
Company Name: Crescentek
Company Website: https://www.crescentek.com/" target="_blank">https://www.crescentek.com/
Location: Rajkot
Job Description
Develop, test, and maintain applications to specified designs & standards in Laravel.
Develop & implement modern web services using service-oriented architecture, RESTful APIs, and SOAP.
Write and execute unit tests.
Implement front-end interfaces & experiences with modern HTML/CSS/jQuery.
Test, troubleshoot, and optimize application components for maximum speed, security, stability, and scalability. stability, and scalability.
Skills & Experience:
experience as a backend Laravel developer.
Experience in Core PHP using MVC Architecture.
Ability to write APIs including Restful APIs.
Knowledge of database operations with MySQL.
Knowledge of front-end technologies (HTML5, CSS3, JavaScript, jQuery, reactjs etc.).
Knowledge and experience of OOPS.
Strong documentation, communication, and team collaboration skills.
- Job Brief Summary
We are looking for Java Developers who have proficient experience in Micro services. Someone who is ingenious focussed and will work collaboratively with the team.
- Roles & Responsibilities
- Participate in requirement understanding of the client and help tech lead to provide size estimations.
- Follow agile practices and work collaboratively with the team.
- Develop and write a unit test for code.
- Ability to commit code on the repository.
- Coordinate with team members to manage branches and resolve conflicts.
- Mandatory Skills & Knowledge
- Sound knowledge in building RESTful Services using Spring Boot framework with micro services.
- Proficient knowledge of Core Java, Advance Java, Micro services, Web services, Multithreading, spring boot, Spring Framework, Database, Dockers, Kubernetes.
- Good knowledge in Database Schema design.
- Expertise in deploying Sprint Boot / Micro services.
- Familiarity with AWS as cloud hosting, AWS APIs.
- Experience in writing Unit Test cases.
- Languages / Frameworks:
- Spring Boot
- Hibernate/ JPA
- Experience in Micro services architecture
In today’s highly competitive education industry, our client is an Edtech platform which focuses on connecting students to colleges and universities from across geographies by providing various education-based products and services which include B2C offerings such as exploring colleges, exams etc., free counselling by experts, education loan, online coaching classes etc. and B2B offerings include admission/activity tracker, marketing services for higher education institutions, content management system etc.
Founded in 2015, our client is headquartered in Gurugram and has raised a total of $40 Mn in funding over 5 rounds.
As a Academic Counselor, you will be responsible for providing counselling to all our customers.
What you will do:
- Resume building and Profile enhancement
- Goal setting
- Selecting schools – Tentative and Final Shortlists
- Networking
- Essays structure and writing – Editing Services
- Recommendation advice – Admit Decisions and School Selection
- Preparing for interviews and mock
- Waitlist advice
- Visa Preparation and document checklist review
Desired Candidate Profile
What you need to have:- Proven track record of admits to universities in USA, UK, Australia, Ireland (Any one destination)
- Ability to manage over 250 students in a calendar year
- Ability to convert enrolled students for Visas to partner institutions
• Must have strong experience working using Android Studio
• Must clearly understand compliance requirements and have experience with successful app submission to the Playstore
• Experience with version control system like SVN, GIT
• Should have a strong understanding of git commands
> Team Management & Delegation
> Customer Management
> SAP SuccessFactors Knowledge (EC or ECP preferable)
> Identify new opportunities in the designated accounts
Job Description:
> You will be assigned 4-5 large SAP SF customers who have already implemented SF.
> Managing Support Consultants to handle customer requests/tickets analyse recurring problems to decrease volume of tickets
> Propose new and out of the box solutions within SAP SF to customers and manage any escalation.
> Identify new opportunities at the customers based on existing pain-points & proposing effective solutions available within SAP SF.
This role demands a mix of team delegation, customer first approach, out of the box solution thinking and business acumen to upsell additional SF modules.
About Rolling Arrays Consulting:
Rolling Arrays provides HR Software and HR System Implementation Services (SAP SuccessFactors, Qualtrics, Reimburse, CICO, eFile, eAuthoring) to Clients in Singapore, Malaysia, Australia, UAE, Hong Kong. Rolling Arrays (RA) was featured as Singapore’s Top 75 fastest growing companies by the leading newspaper of Singapore - The Straits Times in 2021 where RA was ranked 48.
Rolling Arrays has 2 lines of businesses:
HR System Implementation Services:
Rolling Arrays is regarded as number ONE mid-size firm in the South East Asian Market with a strong track record of 12 Years and more than 200 enterprise level HR Technology Implementation projects till date.
HR Software Products in Rolling Arrays’ portfolio (partner’s products and own products):
• SAP SuccessFactors (World’s leading End to End Cloud HR Software solution)
• Qualtrics (World’s leading Experience Management Software)
• Reimburse (AI Enabled Travel & Expense Management Software for Enterprises)
• CICO (Intelligent Time Capture Machine, a software alternative to Physical Biometric Devices)
• eFile (Digitize and contextualize all employee documents in one place)
• eAuthoring (Author and publish your own learning content to capture tacit knowledge in the organization)
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.










