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java - associate-software engineer

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python developer associate software engineering

Morgan Stanley

<div>
 
 Backend Python Developer - Associate - Software Engineering
 
 
 
 
 Profile Description
 
 
 
 
 Division
 
 
 
 We&rsquo;re seeking someone to join our team as (Associate) Python Developer that develops and maintains software solutions that support business needs.
 
 
 
 Institutional Securities Technology
 
 
 
 Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST&rsquo;s &lsquo;clients&rsquo; include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.
 
 
 
 Client &amp; Investor Analytics
 
 
 
 The Counterparty Risk and Margins team is the firm&rsquo;s risk team for assessing and mitigating counterparty risk. We provide a comprehensive set of risk calculations like Stresses, Greeks, VAR, Betas, Exposure and Backtest, which are used to assess risk on counterparty portfolios under different situations. The users of the Risk platform are both internal and external to the firm. Via the Matrix application, we provide the risk platform to our external clients which include large hedge funds, pension funds, etc. Internally, our tools are used by Risk Managers, operations users, as well as senior management in various business lines, to look at the counterparty risk that the firm is exposed to, as well as to assess the risk profiles of potential new clients. This robust platform is also being leveraged by firm's Global Wealth Management group.
 
 
 
 Software Engineering
 
 
 
 This is Associate position that develops and maintains software solutions that support business needs.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 At Morgan Stanley India, we support the Firm&rsquo;s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm&rsquo;s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate &amp; Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there&rsquo;s ample opportunity to move across the businesses for those who show passion and grit in their work.
 
 
 Interested in joining a team that&rsquo;s eager to create, innovate and make an impact on the world? Read on&hellip;
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Strong technologist with passion for high quality engineering and problem solving.
 </li>
 <li>
 Good collaboration with team members and stakeholders across the globe.
 </li>
 <li>
 Has career development path with opportunities to grow, learn and develop beyond a certain technical skillset.
 </li>
 <li>
 Agile development principle, methodologies and devops adoption of CI/CD/CM.
 </li>
 <li>
 Self-Starter mindset with strong leadership skills and team-oriented goals
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 At least 3 years&rsquo; relevant experience would generally be expected to find the skills required for this role
 </li>
 <li>
 Experience building enterprise-level applications using Python frameworks including Django, Flask, and FastAPI for RESTful API development
 </li>
 <li>
 Expertise in multi-tiered web application design and programming with a solid understanding of modern Python web architectures
 </li>
 <li>
 Programming proficiency in data processing and analysis using Pandas, NumPy, and related data science libraries
 </li>
 <li>
 Experience with API development and integration using JSON, REST principles, and microservices architecture.
 </li>
 <li>
 Django: Full-stack web framework for rapid development of secure and maintainable websites
 </li>
 <li>
 Flask: Lightweight WSGI web application framework for building RESTful services and microservices
 </li>
 <li>
 FastAPI: Modern, high-performance web framework for building APIs with Python based on standard Python type hints
 </li>
 <li>
 Pandas: Data manipulation and analysis library for processing structured data
 
 
 </li>
 </ul>
 
 Good to Have skill
 
 
 
 <ul>
 <li>
 Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Experience with natural language processing (NLP) using libraries like NLTK or spaCy
 </li>
 <li>
 Understanding of data preprocessing techniques for machine learning applications
 </li>
 <li>
 Familiarity with model training, evaluation, and deployment workflows
 </li>
 <li>
 Experience with computer vision libraries such as OpenCV
 </li>
 <li>
 Knowledge of deep learning architectures and their applications
 </li>
 <li>
 Understanding of MLOps practices for model deployment and monitoring
 </li>
 <li>
 Experience with Python package management tools (pip, poetry, conda)
 </li>
 <li>
 Proficiency in deploying Python applications using Docker, Kubernetes, and cloud platforms
 </li>
 <li>
 Knowledge of database integration with Python applications (SQL and NoSQL)
 </li>
 <li>
 Exposure to JIRA, RALLY or other ALM tools to create a productive, high quality development environment.
 </li>
 <li>
 Familiarity with AGILE Process and biweekly scrum. Have used Agile methodology, Continuous delivery and continually seek excellence.
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Python Developer_ Associate_ Software Engineering

<div>
 
 Profile Description
 
 
 
 
 Division
 
 
 
 We&rsquo;re seeking someone to join our team as experienced Java Developer with a strong background in Spring Framework and SQL. The ideal candidate will have 4 to 7 years of hands-on experience in building scalable backend systems, REST APIs, and working with relational databases. You will be a part of a dynamic team driving innovation in our software products and services.
 
 
 
 Institutional Securities_ Technology
 
 
 
 Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST&rsquo;s &lsquo;clients&rsquo; include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.
 
 
 
 Software Engineering
 
 
 
 This is Associate position that develops and maintains software solutions that support business needs.
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Design, develop, and maintain high-performance Java applications using Spring Boot.
 </li>
 <li>
 Build and consume RESTful APIs for various application modules.
 </li>
 <li>
 Write optimized SQL queries, procedures, and triggers for high-performance applications.
 </li>
 <li>
 Collaborate with front-end developers, QA engineers, and DevOps to integrate features and services.
 </li>
 <li>
 Participate in code reviews, design discussions, and agile ceremonies.
 </li>
 <li>
 Troubleshoot production issues and implement fixes in a timely manner.
 </li>
 <li>
 Ensure code quality, maintainability, and best practices through unit testing and documentation.
 </li>
 <li>
 Continuously research and apply new technologies and best practices.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 Strong proficiency in Java (8+), Spring Framework, Spring Boot
 </li>
 <li>
 Experience in developing REST APIs
 </li>
 <li>
 Expertise in SQL and relational databases like PostgreSQL, MySQL, or Oracle
 </li>
 <li>
 Familiarity with JPA/Hibernate
 </li>
 <li>
 Good understanding of Maven/Gradle, Git, and CI/CD pipelines
 </li>
 <li>
 Knowledge of unit testing frameworks like JUnit or TestNG
 </li>
 <li>
 Familiarity with microservices architecture is a plus
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP) is a bonus
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and interpersonal abilities
 </li>
 <li>
 Ability to work independently and as part of a team
 </li>
 <li>
 Agile/Scrum methodology experience is preferred
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Java - Associate-Software engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 3 years
 
 
 Location: Navi Mumbai
 
 
 JobType : full-time
 
 
 We are seeking a highly skilled
 
 Data Scientist - AI
 
 to design and deploy advanced deep learning systems that uncover actionable insights from diverse data sources, including text, imagery, and time-series datasets. You'll work at the intersection of research and production&mdash;building scalable AI pipelines, fine-tuning transformer models, and collaborating closely with quantitative researchers to turn machine learning outputs into meaningful business signals.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Research, design, and train deep learning models (LLMs, CNNs) to extract and identify pricing or predictive signals from multiple data types.
 </li>
 <li>
 Build and maintain end-to-end AI orchestration pipelines for data ingestion, feature extraction, model training, and real-time inference.
 </li>
 <li>
 Develop scalable MLOps workflows using AWS, Docker, CI/CD, and orchestration tools for automated model deployment, monitoring, and version control.
 </li>
 <li>
 Fine-tune Hugging Face transformer models and integrate them into production-ready AI systems.
 </li>
 <li>
 Architect and manage data processing layers in Python and MongoDB to enable reproducible, high-performance experimentation.
 </li>
 <li>
 Collaborate with quantitative researchers to translate ML model outputs into actionable insights or trading signals.
 </li>
 <li>
 Implement evaluation frameworks to continuously monitor model performance, drift, and reliability.
 </li>
 <li>
 Drive innovation by experimenting with multimodal, self-supervised, and reinforcement learning techniques to enhance predictive capabilities.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 3-6 years of experience in data science, applied AI, or ML research (exceptional candidates with less experience are encouraged to apply).
 </li>
 <li>
 Strong proficiency in Python, with expertise in PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience with transformer and CNN architectures.
 </li>
 <li>
 Familiarity with Hugging Face, AWS SageMaker, or similar ML orchestration platforms.
 </li>
 <li>
 Proven experience in MLOps &mdash; building, deploying, and maintaining production-grade ML pipelines.
 </li>
 <li>
 Working knowledge of data engineering tools (e.g., MongoDB, Pandas, NumPy, Airflow, Prefect).
 </li>
 <li>
 Solid mathematical foundation in probability, statistics, and optimization.
 </li>
 <li>
 Excellent software engineering practices &mdash; clean, modular code with Git-based version control and CI/CD.
 </li>
 <li>
 A strong sense of curiosity, experimentation, and drive to apply AI solutions to real-world problems.
 </li>
 <li>
 Must be based in or open to relocating to Navi Mumbai.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 Data Science | Deep Learning | Machine Learning | PyTorch | TensorFlow | Hugging Face | AWS | MLOps | NLP | Computer Vision | Model Deployment | Data Engineering
</div>

Data Scientist - AI

LTIMindtree

<div>
 
 
 Hiring Location : Mumbai / Hyderabad / Bangalore / Pune
 
 
 
 
 Grade looking for: 5 &ndash; 8 Years
 
 
 
 
 Notice Period details : 15-30 Day
 
 
 
 
 Mandatory Skills : Java , Spring Boot, Microservices
 
 
 
 
 
 
 
 JD-
 
 
 
 
 
 
 
 Job Title: Senior Java Developer
 
 
 Job Summary
 
 
 We are seeking a highly experienced Java Developer to lead the design, development, and deployment of robust, scalable, and high-performance enterprise applications. The ideal candidate will have deep expertise in Java technologies, a strong grasp of software architecture, and a proven track record of delivering complex solutions in agile environments.
 
 
 
 
 Key Responsibilities-Design and develop enterprise-grade Java applications using Spring Boot, Hibernate, and RESTful APIs.
 
 
 Lead architecture discussions and contribute to system design and technical roadmaps.
 
 
 Collaborate with cross-functional teams including DevOps, QA, and Product Management.
 
 
 Write clean, maintainable, and well-documented code following best practices.
 
 
 Conduct code reviews and mentor junior developers.
 
 
 Optimize application performance, scalability, and security.
 
 
 Integrate third-party APIs and services.
 
 
 Participate in Agile ceremonies and contribute to sprint planning and retrospectives.
 
 
 
 
 Technical Skills
 
 
 Proficiency in Core Java, Spring Framework (Boot, MVC, Security), Hibernate/JPA.
 
 
 Strong experience with RESTful Web Services, Microservices Architecture, and API Gateways.
 
 
 Solid understanding of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
 
 
 Familiarity with CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
 
 
 Experience with version control systems like Git and build tools like Maven/Gradle.
 
 
 Knowledge of unit testing frameworks (JUnit, Mockito) and code quality tools (SonarQube).
 
 
 
 
 Soft Skills
 
 
 Excellent problem-solving and analytical skills.
 
 
 Strong communication and leadership abilities.
 
 
 Ability to work independently and in a team-oriented environment.
 
 
 Adaptability to changing priorities and technologies.
 
 
 
 
 Education &amp; Qualifications
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, or a related field.
 
 
 Relevant certifications (e.g., Oracle Certified Java Programmer) are a plus.
 
 
 
</div>

Java Developer

JPMorganChase

<div>
 
 Job Description
 
 
 
 Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 
 
 As a Software Engineer I at JPMorgan Chase within the Model Risk Governance &amp; Review (MRGR) team, you will be developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort, including resource management and cost optimization tools. You will provide support for model reviewers and governance teams in building independent testing and efficiency tools. You will be delivering high-quality solutions by emphasizing the importance of data controls, testing, user experience and continuously seek input from users to align efforts with their objectives. Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient.
 
 
 Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. MRGR is a global team of modeling experts within the firm&rsquo;s Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. Within MRGR, the Chief Operating Office (COO) supports model risk stakeholders in their review and governance activities, and drives certain governance activities itself, with responsibility for: product ownership, process engineering and software development for model risk technology and analytics; model risk reporting; administration of oversight committees; project management of the review and governance pipeline; coordination of regulatory/audit deliverables including capital stress testing exercises; and general business management. Within COO, MRGR Analytics provides technology solutions for MRGR and its clients, assisting them in performing their tasks more efficiently, accurately, and with better control. Majority of the solutions are built within Athena (JPMorganChase&rsquo;s proprietary framework using Python language), Tableau and QlikView/QlikSense frameworks.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Develop tools to automate various tasks in the model governance and review lifecycle.
 </li>
 <li>
 Build various dashboard reports to help manage the body of work that MRGR deals with.
 </li>
 <li>
 Translate the existing business requirements in model risk management space into business applications using applied development work mostly in Python using in-house built Python framework.
 </li>
 <li>
 Integrate Large Language Models (LLMs) into existing systems to enhance automation, reporting capabilities and decision-making processes.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities.
 </li>
 <li>
 Build intelligent solutions to support the activities of MRGR staff.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 A Bachelors or Masters degree in a Science, Technology, Engineering, or Mathematics discipline with significant exposure to computer programming.
 </li>
 <li>
 Minimum 2 years of full stack application development.
 </li>
 <li>
 Proficient in Python and knowledge of Tornado web framework / TypeScript / React required.
 </li>
 <li>
 Good understanding of software architecture, object-oriented programming and design patterns.
 </li>
 <li>
 Experience with integrating machine learning models, including LLMs, into enterprise applications.
 </li>
 <li>
 Strong communication skills with the ability to interface with other functional areas in the firm on business requirements.
 </li>
 <li>
 Risk and control mindset: ability to think critically, assess user needs and create design solutions to meet user needs.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Experience in working with large data sets.
 </li>
 <li>
 Exposure to LLM integration and deployment in real-world applications.
 </li>
 <li>
 Strong UI/UX designing skills.
 </li>
 <li>
 Experience in model risk management or financial services space.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.
 
 
 Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
</div>

Software Engineer I

Nomura

<div>
 
 
 
 Global Markets - Equity Research - Analyst / Associate
 
 
 
 
 
 
 
 
 Nomura Overview:
 
 
 
 
 
 
 Nomura is an Asia-headquartered financial services group with an integrated global network spanning over 30 countries. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its four business divisions: Retail, Asset Management, Wholesale (Global Markets and Investment Banking), and Merchant Banking. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com
 
 
 
 
 
 Nomura Services India, (Powai) supports Nomura&rsquo;s businesses around the world. Powai&rsquo; s world class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support have played a key role in facilitating Nomura&rsquo;s global operations and are an integral part of Nomura&rsquo;s global expansion plans. The Powai operation is a critical part of the platform to support the growth of Nomura&rsquo;s global business.
 
 
 
 
 
 
 Division Overview:
 
 
 
 
 
 
 Nomura's Global Markets Division handles client transactions for financial institutions, corporates, governments and investment funds around the world. We act as market makers, trading in fixed income and equity securities, including currencies, interest rates and credit in cash, derivatives and structured products. We have taken market-leading positions across the globe by leveraging the strength of our talent, client relationships and technology.
 
 
 
 
 
 By developing strong relationships with our client base through consistent interaction, independent advice and pre-eminent access to Asia, we have built a powerful global franchise.
 
 
 
 
 
 
 Business Unit Overview:
 
 
 
 
 
 
 Nomura Research is a World-class provider of intellectual capital. Research covers Company Analysis, Quantitative Research, Corporate Access &amp; Equity Strategy. Nomura delivers Independent research through globally aligned sectors and with a narrow but deep, high-quality strategy leveraging dedicated distribution.
 
 
 Powai (Mumbai) Research division is an integral part of the Global Research Division. It consists of Associates covering various markets, who undertake equity research. The Equity Research team is involved in fundamental research of companies as well as equity strategy research spanning geographies across Asia. The team also comprises, Product Management Group, Supervisory Analysts and the Editorial &amp; Production team.
 
 
 In order to further support the business and Nomura&rsquo;s market profile across a broad range of clients, the Asia ex Japan Equity research team is looking to hire an associate to provide Equity Strategy research coverage. The team is looking for an associate who could support the analyst in his work. The team aims to be a top-3 provider of research to the firm&rsquo;s focus accounts which are equally spread between institutional investors and hedge funds in all the main financial centers of the world.
 
 
 
 
 
 
 Position Specifications:
 
 
 
 
 
 
 
 Corporate Title
 
 
 
 Analyst/Associate
 
 
 
 Functional Title
 
 
 
 Analyst/Associate
 
 
 
 Experience
 
 
 
 1 to 3 years
 
 
 
 Qualification
 
 
 
 Degree in Finance/Economics/CA/MBA or Engineering/Statistics/Mathematics from a premier institute. CFA will be an added advantage
 
 
 
 
 
 
 Role &amp; Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Join as an integral part of Asia ex Japan Equity Strategy research team.
 </li>
 <li>
 The role will involve supporting senior analyst based in Singapore.
 </li>
 <li>
 The successful candidate will be part of a highly-regarded team with a mandate for research on Asia Pacific equity strategy. The team produces regular written reports on a variety of discretionary subjects with a substantial amount of underlying analysis, and the candidate would be expected to contribute to the reports in terms of idea generation and analysis.
 </li>
 <li>
 Work on building financial/quantitative models and strategies for the team, which use company and/or macro-economic data; maintain these databases on a regular basis.
 </li>
 <li>
 Assist in writing full or parts of research reports; Build marketing presentations with the direction of senior analyst.
 </li>
 <li>
 Keep an eye on important regional/global news flow, which could likely have impact on equities in the region.
 </li>
 <li>
 The candidate should be able to work under pressure and amid tight deadlines and be able to respond to requests from internal and external clients (both fundamental and quantitative) in a flexible manner.
 </li>
 <li>
 The role offers the right candidate a potential to develop and grow knowledge of the workings of a financial market.
 </li>
 </ul>
 
 
 
 
 
 Mind Set:
 
 
 
 
 
 
 
 Mandatory
 
 
 <ul>
 <li>
 Ideally some experience in equity/credit/quantitative research experience which demonstrates superior analytical ability; or demonstrated interest in pursuing financial markets research
 </li>
 <li>
 Degree in Finance/Economics/CA/MBA or Engineering/Statistics /Mathematics from a premier institute is mandatory
 </li>
 <li>
 Passion in analyzing financial/stock markets or understanding
 </li>
 <li>
 Tenacity and perseverance to be able to work in fast paced environment
 </li>
 <li>
 Should be able to formulate a problem, undertake the required analysis and interpret the results
 </li>
 <li>
 Be able to think through complex issues and be comfortable dealing, sometimes, with ambiguity in an effort to find solutions
 </li>
 <li>
 Be highly numerate, with exceptional quantitative financial analysis and modelling skills
 </li>
 <li>
 Knowledge of MS Excel, Word, PPT
 </li>
 <li>
 Should be highly comfortable organizing and analyzing large amounts of data to find meaningful conclusions
 </li>
 </ul>
 
 
 
 
 
 Desired
 
 
 <ul>
 <li>
 CFA/CFA candidate/ Master&rsquo;s degree/CA will be preferred
 </li>
 <li>
 Some basic programming/ econometrics skills and background (VBA, R, Python) etc. are preferred. The candidate should be open to spend some of his/her time using programming skills to develop and maintain databases to enhance productivity.
 </li>
 <li>
 Some experience of financial databases such as Bloomberg, Factset, Thomson Reuters/ Eikon is good to have
 </li>
 <li>
 Excellent analytical and communication skills (written and oral) with attention to detail.
 </li>
 <li>
 Basic familiarity with report-writing for a business audience and ability to formulate and articulate views logically
 </li>
 <li>
 Be a good team player
 </li>
 <li>
 A passion for financial markets. The ability to transfer theory to practice, demonstrated through work experience or finance-related projects/ internships/ modules during course work would be an added advantage
 </li>
 <li>
 Have an appetite for top-down research/macro-research to identify investment themes; and passionate about developing knowledge of Global Markets not only limited to equities, but also potentially rates, FX, commodities, etc.
 </li>
 </ul>
 
 
</div>

Global Markets - Equity Research (Strategy) - Analyst / Associate

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 Experience working with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP.
 </li>
 <li>
 Experience programming in C, C++, Java, or Python.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Advanced degree in Computer Science or Computer Engineering, or a related field.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
 
 
 Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research, conceive, and develop software applications to extend and improve on Google's product offering.
 </li>
 <li>
 Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
 </li>
 <li>
 Collaborate on scalability issues involving access to data and information.
 </li>
 <li>
 Solve challenges/problems that you are presented with.
 
 
 
 </li>
 </ul>
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Software Engineer, University Graduate, 2026

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