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Technical Analyst
Find the JD of Technical Analyst - Stock Market
Min Exp: 2 Years
Shift; 8 Am to 5 PM (Monday to Saturday)
Location- Delhi
Requirement:
1-Trading experience has to be in stocks and indices (NIFTY and BANK NIFTY)- cash segment and FNO on the National Stock Exchange.
2-Experience not less than 5-6 years hard core from day 1 in technical and options trading.
3-Education not less than Graduation in finance field- BBA/MBA.
4-Should know the NSE stock/INDEX.
5-Should know the Options and Derivatives market concept.
6-Should know the charting /Indicator/RSI/Bollinger Band & others of the stock market.
Experience:
○ 2-4 years of hands-on experience with Microsoft Power Automate (Flow).
○ Experience with Power Apps, Power BI, and Power Platform technologies.
○ Experience in integrating REST APIs, SOAP APIs, and custom connectors.
○ Proficiency in using tools like Microsoft SharePoint, Azure, and Dataverse.
○ Familiarity with Microsoft 365 apps like Teams, Outlook, and Excel.
● Technical Skills:
○ Knowledge of JSON, OData, HTML, JavaScript, and other web-based technologies.
○ Strong understanding of automation, data integration, and process optimization.
○ Experience with D365 (Dynamics 365) and Azure Logic Apps is a plus.
○ Proficient in troubleshooting, problem-solving, and debugging automation workflows.
● Soft Skills:
○ Excellent communication skills to liaise with stakeholders and technical teams.
○ Strong analytical and problem-solving abilities.
○ Self-motivated and capable of working independently as well as part of a team.
Educational Qualifications:
● Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical
experience).
Good to have Qualifications:
● Microsoft Certified: Power Platform certifications (e.g., Power Platform Functional Consultant, Power Automate RPA
Developer) would be advantageous.
● Experience with Agile or Scrum methodologies.
- Responsible for overall AOP target achievement.
- Responsible for leading a team involved in direct Fixed Battery\2W sales.
- Driving BTL and local sales activities through team.
- Travelling across locations to focus on opportunities for Sales and Growth.
- Hiring, Leading, Managing and motivating Sales team to drive growth numbers.
Responsibilities:
- Develop a growth strategy focused both on financial gain and customer satisfaction
- Conduct research to identify new markets and customer needs
- Arrange business meetings with prospective clients
- Promote the company’s products/services addressing or predicting clients’ objectives
- Prepare sales contracts ensuring adherence to law-established rules and guidelines
- Keep records of sales, revenue, invoices etc.
- Provide trustworthy feedback and after-sales support
- Build long-term relationships with new and existing customers
- Develop entry level staff into valuable salespeople
Brand Name: unHR
Profile: HR Operations
Website: https://unhr.in/" target="_blank">https://unhr.in/
Location: Hauz Khas (South Delhi)
Hours: 9:30 AM – 6:30 PM Mon-Fri, Sat 9:30 AM-4 PM
About The Promoters:
Dishi Jain : https://www.linkedin.com/in/jaindishi/" target="_blank">https://www.linkedin.com/in/
Ankit Bansal : https://www.linkedin.com/in/ankitbansal21/" target="_blank">https://www.linkedin.com/
unHR was incepted by the idea to help founders provide scalable and affordable solutions in HR. Our Expertise is to provide HR processes and frameworks and help founders with strategic HR advisory.
Roles & Responsibilities:
1. Set objectives for the HR team and track progress based on metrics.
2. Monitor internal HR systems and databases
3. Complete HR operational requirements by scheduling and assigning employees;
following up on work results
4. On-boarding (verifications & documentation, induction, training etc)
5. Generalist Activities (Employee engagement/relationship, payroll, PF’s,
events, CSR etc)
6. Miscellaneous Activities (Preparing various reports, Analysing Jobs/Hires -
quarterly/half yearly/annually sometimes daily)
7. Handel 4-5 clients at a time.
8. Visit one day in a week/month to the client’s place.
9. Should be okay with coordinating and scheduling for Tech Hirings.
Requirements:
1. 2-4 Years of experience in Operations.
2. Excellent analytical and decision-making abilities.
3. Team management skills.
4. Hands-on experience with Human Resources Information Systems.
5. Effective communicator with the ability to build relationships with senior leaders.
should have basic knowledge of UI/U, PHP , MYSQL, CSS, BOOTSTRAP
We are looking for Full Stack Developers. Candidate should be hands on with front end and backend Java technologies.( 2-10 years of exp).Designation will be Java Developer, Sr.Java Developer and Java Lead basis the years of experience.
We are Looking for below skills,
Must Have’s
- JSP, JS, Servlets, CSS, HTML, JQUERY
- MVC, Struts, Application Servers ( JBOSS/WebSphere), REST Services
- OOPS Concepts & Core JAVA
- Basic SQL
- Good Analytical Skills
Good to Have
- REACT, ANGULAR
- Explain Plan/ Query Tuning
- Jenkins, Maven
• At least 4 years of hands-on experience with cloud infrastructure on GCP
• Hands-on-Experience on Kubernetes is a mandate
• Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
• Knowledge and hand-on-experience in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
• Knowledge and hand-on-experience on the various platforms (e.g. Gitlab, CircleCl and Spinnakar)
• Familiarity with monitoring and alerting tools (e.g. CloudWatch, ELK stack, Prometheus)
• Proven ability to work independently or as an integral member of a team
Preferable Skills:
• Familiarity with standard IT security practices such as encryption,
credentials and key management.
• Proven experience on various coding languages (Java, Python-) to
• support DevOps operation and cloud transformation
• Familiarity and knowledge of the web standards (e.g. REST APIs, web security mechanisms)
• Hands on experience with GCP
• Experience in performance tuning, services outage management and troubleshooting.
Attributes:
• Good verbal and written communication skills
• Exceptional leadership, time management, and organizational skill Ability to operate independently and make decisions with little direct supervision
Responsibilities:
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
- Verifying data quality, and/or ensuring it via data cleaning.
- Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
- To design and develop Machine Learning systems and schemes.
- To perform statistical analysis and fine-tune models using test results.
- To train and retrain ML systems and models as and when necessary.
- To deploy ML models in production and maintain the cost of cloud infrastructure.
- To develop Machine Learning apps according to client and data scientist requirements.
- To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.
Technical Knowledge:
- Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase.
- Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
- Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark, Pandas, Numpy and related libraries.
- Expert in visualising and manipulating complex datasets.
- Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
- Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
- Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
- Big data Technologies such as Hadoop stack and Spark.
- Basic use of clouds (VM’s example EC2).
- Brownie points for Kubernetes and Task Queues.
- Strong written and verbal communications.
- Experience working in an Agile environment.




