Job Description

• Develop and implement quantitative software applications to process and analyze real-time financial market data in a high-performance computing environment
• Maintain and optimize existing software applications, and recommend and implement improvements
• Responsibilities:
• Product Strategy: Develop and execute a clear product strategy aligned with the company's goals and market demands.
• Market Research: Conduct market research to understand customer needs, market trends, and competition to identify new product opportunities.
• Product Roadmap: Create and maintain a product roadmap that outlines the product's vision, features, and timeline.
• Requirements Gathering: Collaborate with stakeholders, customers, and cross-functional teams to gather and define product requirements.
• Prioritization: Prioritize features and product enhancements based on customer feedback, market analysis, and business objectives.
• Cross-functional Collaboration: Work closely with engineering, design, marketing, and sales teams to ensure successful product development, launch, and adoption.
• Product Development: Drive the product development process, including defining product specifications, creating prototypes, and managing the product development lifecycle.
• Launch and Adoption: Plan and execute product launches, develop marketing strategies, and monitor product adoption and success metrics.
• Product Performance Analysis: Analyze product performance and user feedback, identify areas for improvement, and make data-driven decisions for product enhancements and iterations.
• Stakeholder Management: Effectively communicate product updates, progress, and decisions to stakeholders, executives, and the broader team.
• Qualifications:
• Product Management Experience: Demonstrated experience in product management or related roles, with a track record of successfully delivering products to market.
• Business and Market Understanding: Solid understanding of business principles, market dynamics, and customer needs in the relevant industry.
• Strategic Thinking: Ability to think strategically and translate business objectives into a clear product strategy.
• Analytical Skills: Proficiency in data analysis, market research, and using metrics to inform product decisions.
• Communication and Leadership: Strong communication, presentation, and leadership skills to effectively collaborate with cross-functional teams and influence stakeholders.
• Technical Knowledge: Familiarity with relevant technologies, software development methodologies, and product development processes.
• Customer Focus: A customer-centric mindset with the ability to empathize with users and understand their needs.
• Problem-Solving: Strong problem-solving skills and the ability to make decisions in complex and ambiguous situations.
• It's important to note that the specific responsibilities and qualifications for a product manager may vary depending on the company's size, industry, and product portfolio.
• Regenerate response
• Write technical specifications, project plans, and technical documentation; translate business requirements into functional specifications and project plans
• Producing clean, efficient code based on specifications
• Testing and deploying programs and systems
• Fixing and improving existing software
• Design and delivery of API-based e2e Networks automation platform
• Responsible for developing and establishing the automatic regression tests that will support Airtel self organizing networks implementations
• Automation of test scripts and assist in validating of scenarios You will investigate issues by reviewing/debugging solutions, provide workarounds, and review changes for operability to maintain existing software solutions
• Responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics in Networks.
• Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.
• Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to enhance Network experience customer experiences, revenue generation and other business outcomes.
• Must be able to communicate effectively and have detailed knowledge of data preparation and cleaning, algorithm selection & design, results analysis, industrialization.
• Work with stakeholders to understand business requirements and processes for projects so implementation can be done without delays.
• Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments
• Working closely with other developers, UX designers, business and systems analysts.

Qualifications and Skills:


• Excellent technical skills and coding experience in OO languages (C++/ Python/Scala/Spark/Java, Java scripting ), ability to write stable, maintainable, and reusable code.
• Experience with SQL/NoSQL databases such as: MySQL and mongo DB.
• Good understanding with RESTful APIs.
• Understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
• Understanding in Machine Learning, e.g., linear/logistics regression discriminant analysis, boosting /bagging etc .
• Ambition to learn and implement current state of the art machine learning frameworks such as Scikit-Learn, TensorFlow, and Spark.
• Familiarity with Linux/OS X command line, version control software (git).
• Programming or scripting to enable ETL development

Academic Qualifications


Bachelor or equivalent degree in Electronics , Computer Science, Computer Engineering, IT