6 Beta Jobs

You will need a B.E., B.Tech, or M.Sc. degree in Computer Science or a related technical field with 2 to 3+ years of experience as a Quality Assurance Tester or in a similar role. Your responsibilities will include testing websites and mobile applications (iOS/Android), collaborating with developers and product managers to understand requirements and use cases, and having a strong understanding of software testing methodologies and test-driven development. Additionally, you should have experience working with databases, SQL, and application servers, writing and maintaining test plans and test cases, and using browser-based UI automation tools like Selenium/Robot frameworks. Experience with API testing, load and performance testing tools, load/stress test analysis, setting up performance testing environments in the cloud, and working in a SaaS or Cloud Services environment will be beneficial. Knowledge of HTML/CSS/JavaScript and React.js, as well as experience in the Fintech and E-Commerce domains, will be considered a plus. If you meet these qualifications and have the required experience, you can drop your CV at hr@enterslice.com.,

Morningstar Indexes - http://indexes.morningstar.com Position : Quantitative Analyst – New Product Development – Morningstar Indexes The Area : Morningstar Indexes Team leverages its expertise in equity research, manager research, asset allocation, and portfolio construction to create innovative investment solutions. It uses Morningstar’s intellectual property to create indexes that empower investors to achieve their goals at every stage of the investment process - market monitoring, benchmarking, and asset allocation. The unit offers a broad suite of global equity, bond, commodity and asset allocation indexes. The Role : As a part of the Indexes New Product Development Team, you will participate in the full development cycle including ideation, design, development, presentations to global research team and clients, leading up to implementation. The ideal candidate will have a good grasp of investment concepts, possess strong analytical skills, good communication skills. Technical proficiency with at least one programming language (Python, R or MATLAB) in addition to SQL is desirable. This position is based in our Navi Mumbai office. Responsibilities: The successful candidate will Collaborate effectively with Morningstar research organization including equity, quantitative, manager or sustainability research teams, and product management to develop novel thematic and smart beta indexes that leverage Morningstar IP. Work on the entire product development lifecycle from ideation, design, development, and validation, leading up to launch. Work closely with other index teams to operationalize index methodologies. Develop new tools and capabilities to perform portfolio construction or analytics independently, including the use of statistical and machine learning techniques. Publish white papers, factsheets, client presentations, and other collateral to support go-to-market plans. Requirements: Up to 2 years of experience. Bachelor’s degree in a quantitative, financial discipline, or engineering. MBA from a premier institute is preferred. CFA charter or candidature (at least passed Level II) is preferred. Hands on experience with creating Strategic Beta (Factor), ESG Indexes or similar rules-based quantitative investment strategies is preferred. Knowledge of institutional investing, modern portfolio theory, and portfolio construction processes. Excellent documentation habits, oral and written communication and presentation skills including ability to distil complex ideas into simple explanations. Morningstar is an equal opportunity employer.

Experience as an IT business Analyst in Capital Markets post trade (Settlement and Risk) domain in IT companies or Financial organizations Experience in preparing BRS of Functional specifications User Stories, Test Plans Test Scenarios Acceptance criteria Test cases Experience in Functional Testing, test planning and test execution Responsible for ensuring appropriate test coverage and execution for various test cycles Maintain defect logs publish testing reports to all stakeholders and track defects to closure Experience in Integration testing system testing and beta testing using manual and automated test scenarios and test cases Good understanding Agile process including testing methodologies and business impact analysis Good communication and presentation skills Experience in clearing settlement and risk systems Through understanding of capital markets domain Awareness of margining and risk computations for trading post trading systems Business requirements analysis and documentation Functional testing using Manual and or Automated testing Exposure to industry leading products used by exchange or brokers such as Calypso, Murex, Nasdaq, Broadridge or settlement solutions Agile Methodologies Experience in real-time position monitoring systems Experience in Functional Solution design Change Management or Transformation . IT Business Analyst.

Roles and Responsibilities: Expertise and experience with Analytics, SQL, Python and handling large datasets is mandatory. • Use technical skills to ensure the accuracy of large analytical data sets, automate processes with scripts and macros and efficiently query information from a vast database. Have a good understanding of Fixed Income, Equity, Derivatives and Alternatives products and how they are modeled and traded Exhibit attention to detail when quality checking Package analytics and be accountable of timely delivery of reports to clients in accordance with Service Level Agreements. Engage in meetings with end-users of the Package product from all levels within the company from Portfolio and Risk Managers to Operations teams and also with our external Clients. Support client requests related to the Package analytics. Project work: engaging with other internal teams to think creatively and deliver innovative solutions to our complex client demands. Prerequisites • Excellent problem-solving and critical-thinking skills and an ability to identify problems, design and articulate solutions and implement change. Expertise and experience with Analytics, SQL, Python and handling large datasets is mandatory. • Experience with UNIX, PERL and developing an Asset Management platform is highly desirable. • Knowledge and understanding of Fixed Income, Equity, Derivatives and Alternatives products is preferred. Experience with Risk analytics such as Durations, Spreads, Beta and VaR is preferable. Must possess strong verbal and written communication skills and be able to develop good working relationships with stakeholders. Must be detail orientated, possess initiative and work well under pressure. Work experience with BFSI will be an added advantage. A Degree in Engineering or Technology is required. Experience 3-7 years Education B.Tech/B.E/MCA Compensation The compensation structure will be as per industry standard

DesignationProduction Manager Full Time Opportunity LocationMultiple : - Experience of handling either Alpha & Beta is a must. But should have knowledge of both. - Manpower Management - Production planning for the month as per the target. - Complete day to day production activities - Prepare raw material schedule for the month. - Coordinate with ETP/ Utility, Maintenance and all supporting requirement in the plant. - Control yield, productivity and quality. - Organized shift and distribute production as per the planning. - Maintain records of raw material consumption and production output (FG) related data. - Coordination with QC and application lab on day to day basis for regular planned production batches for blending and packing activities in their respective plant. - Training & Development of subordinates, Development of technical skill of sub ordinates with continuous technical discussion/ interaction during daily activities / giving job based specific technical tasks - Coordination with Safety department for training and managing break down related activities. This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Job Description Summary Are you ready to see your career take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. The Flight Safety and Reliability Data Scientist will play a pivotal role within GE Aerospaces Flight Safety Organization (FSO), driving initiatives that enhance Flight Safety and GE Aerospaces Safety Management System (SMS). This position focuses on designing and developing innovative digital tools to support proactive and preventative risk management, enable enterprise-wide monitoring of safety initiatives, and deliver productivity improvements through advanced visual management solutions. Additionally, the role may involve leveraging generative AI technologies to expand GE Aerospaces digital capabilities, ensuring cutting-edge solutions are integrated into safety processes. The Senior Data Manager will collaborate closely with the FSO team to streamline development efforts and operationalize digital processes, contributing to a safer and more efficient enterprise. Job Description Roles and Responsibilities: Design and develop digital tools and dashboards with a focus onproactive and preventative safetyaligned withFlight Safetyand theGE Aerospace Safety Management System (SMS). Manipulate data patterns and architectures to identify trends and drive actionable business outcomes. Adapt and create digital tools to enhance and streamlineGE Aerospace engineering processes. Leverage expert-level skills with theSupport Central tool suiteto develop dashboards, forms, and interactive workflows. Interface withGE Aerospace Digital Solutions (DES)andDigital Thread (DTE)teams as needed to ensure the continued servicing and enhancement of digital products. Design, develop, and debug complexSQL queries and scriptsto manage large-scale data needs for analytics and relational databases. Build and maintain robustdata pipelinesto support analytics and operational needs. Utilize programming languages such asJavaandPythonto develop new software tools and maintain existing ones in production. Support theFlight Safety Organization (FSO)in strategic, multi-year planning for future development needs. Stay informed of industry trends and best practices to improve products, processes, and services. Decision-Making and Problem-Solving: Apply a high level of judgment to make decisions and address complex tasks or challenges in areas such asoperations,product management,manufacturing,technology, orengineering. Assess the quality of information provided, ask pertinent questions, and offer innovative solutions to problems outside of established parameters. Construct and provide recommendations using multiple internal and external sources to inform decision-making. Leadership and Communication: Lead functional teams or projects with minimal resource requirements, risk, and complexity. Communicate complex concepts effectively and influence others perspectives on key topics. Guide team members to consider alternative viewpoints and approaches to problem-solving. Required Qualifications: Master's degree from an accredited university or college (or a high school diploma / GED with at least 6 years of experience in Job Family Group(s)/Function(s). Minimum of 5 years of experience within data analytics Desired Characteristics: In-depth knowledge of and development of GE digital visual management tools; examples include SharePoint, Spotfire, Data Lake, Support Central, and Smartsheet. Exposure and demonstrated ability to think from an Engineering systems perspective Expertise in creating, beta testing, deploying and maintaining data lake connected projects using Alation, Dataiku, Spotfire and Python and potentially other software tools. Background and working knowledge in generative artificial intelligence (AI). Expert understanding and handling of various data types and sources Good understanding of big data architecture and data modelling. Understanding of Standard Work and Lean Principles Background in: SQL queries and scripts, Support Central, Databases, including NOSQL, Graph, column/row store, analytics vs. relational Cloud native offerings on AWS, AZURE or CCP Industry-awareness of how airframers and other OEMs are utilizing data science tools and analytics to drive preventative and proactive flight safety. Programming languages: JAVA, PYTHON, Spark, PYTHON SQL, GO etc. Working knowledge of SMS and safety processes General awareness and/or knowledge of the greater GE Aerospace Business, including Business-level, Quality, and Engineering processes Fleet Support Production and repair/overhaul Awareness of GE Aerospace-approved digital applications, as well as any associated obsolescence issues Strong oral and written communication skills Strong interpersonal and leadership skills Demonstrated ability to analyze and resolve problems Demonstrated ability to lead programs / projects Ability to document, plan, market, and execute programs Established project management skills