10 Algorithmic Thinking Jobs

As a Product Content Testing Specialist in the Workflow Systems & Tools team at LSEG, you will be responsible for rigorously testing and improving the data quality of products for both internal and external clients. Your role will involve handling release testings for the FCO content and working closely with various teams and stakeholders to ensure the accuracy and completeness of product timelines. Your key responsibilities will include building automation test scripts using Python or equivalent programming languages, writing sophisticated SQL queries, and stored procedures, as well as continuously improving solutions by collaborating with delivery teams. You will also drive product measurements, end-to-end product checks, and test efficiency while providing vital data for transformation programs. In this role, you will be expected to work independently with Content groups to resolve product or content issues, engage with partners to identify problems and translate business impacts, and report on the status of testing projects to stakeholders. Your strong technical skills in Advance SQL, Python, Selenium, Java, or equivalent, along with your ability to handle large quantities of data and narrate stories through data analysis and visualization, will be essential. We are looking for a motivated professional who can drive the quality program for the area, define efficient methods for exploring and analyzing quality deficiencies, and contribute to building tools and test-automation systems. As part of a dynamic and collaborative culture at LSEG, you will have the opportunity to innovate, make a significant impact, and contribute to the development of a quality analytics culture within the team. If you are someone with good content and technical knowledge, a passion for financial data, and a proactive attitude towards continuous improvement, this role offers a phenomenal opportunity to be at the forefront of creating the right measurement and testing products. Join us at LSEG and be part of a team that values innovation, quality, and continuous improvement. At LSEG, we are committed to driving financial stability, empowering economies, and enabling sustainable growth for our customers. Our values of Integrity, Partnership, Excellence, and Change guide our decision-making and actions every day, creating a culture that values individuality and diversity. As part of our global organization of 25,000 people across 65 countries, you will have the opportunity to bring your true self to work, contribute new ideas, and be part of a culture that encourages creativity and collaboration. We are dedicated to sustainability and partner with our customers to help them meet their sustainability objectives through initiatives such as the LSEG Foundation, which provides charitable grants to community groups. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. If you are ready to take your career to the next level, make a significant impact, and be part of a team that values innovation and continuous improvement, we would love to hear from you.,

Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That's why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don't need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey Bring your brightest version of you and have a brighter work day here. At Workday, we value our candidates privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday. About the Team We are seeking a creative and motivated Senior Front-End Engineer to join our team and contribute to the evolution of our industry-leading Core Reporting and Analytics platform. In this role, you will help develop intuitive, responsive user interfaces that make it easy for users to explore data and uncover insights. You'll work closely with experienced engineers, designers, and product managers to build interactive dashboards, engaging data visualizations, and flexible ad-hoc reporting tools. If you're passionate about building great user experiences and growing your front-end development skills in a collaborative environment, we'd love to hear from you. About the Role We are looking for a candidate with a proven track record in the following areas: Algorithmic Thinking: Solid ability in Algorithmic Thinking, including tree traversal algorithms and data structures like hashmaps and sets, to design and implement efficient solutions for complex UI challenges within the React ecosystem, such as state management and performant data rendering. API Integration: Working knowledge of modern APIs, including RESTful APIs , and experience in consuming and integrating with Java-based backend services to provide data to React applications. Code Testing: Good understanding of Code Testing methodologies, such as Unit, Integration, and End-to-End (E2E) Testing, with direct experience using modern frameworks like React Testing Library to ensure code quality. Object-Oriented Programming (OOP): Good understanding of OOP principles like Encapsulation, Inheritance, and Polymorphism, with a strong focus on their practical application in TypeScript for developing scalable and maintainable React components and applications. Software Development: Solid understanding of software development principles with expert-level proficiency in TypeScript and React. Competency in core technologies like HTML, CSS, and Java is also required, along with experience in an Agile/Scrum environment. Team Collaboration: Proven ability in team collaboration within a software development team, including constructive code reviews, pair programming, and active participation in Agile ceremonies. Technical Documentation: Good skills in creating technical documentation for reusable React component libraries, API usage guides, and internal developer handbooks. About You Basic Qualifications BS or MS in Computer Science or a related field, and 8+ years of industry experience. Experience developing in TypeScript, Java, or at least one other object-oriented language. Web development experience (e.g., React/Redux, GWT, J2EE, Node.js) Proven ability to build compelling User Interfaces, work closely with designers, and a deep understanding of the User Experience (UX) . Other Qualifications Serves as a technical lead, guiding architecture, mentoring, and cross-team efforts. Familiarity with AI/ML technologies and enterprise software or SaaS platforms is a plus. Experience with full stack development, including Java backend technologies, is a plus. Highly motivated and collaborative, with a strong sense of ownership and problem-solving mindset. Skilled at building complex, reusable browser components, particularly for interactive data visualizations. Passionate about improving and maintaining large codebases and shared libraries used across multiple teams. Enjoys contributing to a high-performing, close-knit engineering team. Strong communicator with the ability to collaborate effectively across engineering, design, and product. Experienced in evaluating and integrating new technologies and best practices into commercial software. Our Approach to Flexible Work With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter. Are you being referred to one of our roles If so, ask your connection at Workday about our Employee Referral process!

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Meet our team: The Global Fraud Prevention - Automation team is a global, multi-disciplinary Data Science and R&D team. We build tools that automate risk solutions, working across various risk areas, such as consumer and seller risk operations, alongside product and modeling teams to identify opportunities that drive efficiency. Our responsibilities cover research, development, and full product lifecycle ownership of solutions that help data scientists combat fraud at scale. What you need to know about the role: You will work on cutting-edge risk detection and prevention systems that protect PayPal's users and merchants from financial loss. Develop automated systems and tools - such as scalable machine learning pipelines and fraud mitigation frameworks - that empower the organization to combat fraud efficiently and at scale Collaborate with cross-functional partners across Product, Platform, Machine Learning, and Operations to drive impactful strategic initiatives. Job Description: Your way to impact : As a Data Scientist, you will work in a dynamic environment, applying your data science expertise , algorithmic thinking, and analytical skills to solve complex business challenges. You will design and implement innovative solutions to detect and prevent fraud while also identifying opportunities to drive business growth and operational efficiency. Partnering closely with world-class professionals across the organization, you will uncover actionable insights that directly influence strategic decisions and impact the company's bottom line. Your day-to-day work shall involve: A nalyze complex fraud-related problems and utilize data science and algorithmic thinking to uncover impactful opportunities and develop data-driven solutions Drive end-to-end projects from ideation to implementation , while balancing automation goals with business objectives Collaborate with cross-functional teams ( engineering, analytics, product, operations) to translate business needs into scalable data science tools Engage stakeholders throughout project lifecycles by understanding business needs and aligning on priorities, impact, and implementation S upport strategy discussion s by providing actionable insights derived from exploratory data analysis , reporting and data-driven storytelling What do you need to bring: Bachelor's degree in a relevant quantitative field (e.g., Industrial Engineering, Information Systems Engineering, Statistics) with 3+ years of applied data science/analytics experience, or a Master's degree with 2+ years of experience. Strong analytical and problem-solving skills with a data-driven mindset Strong understanding of optimization techniques and decision-making frameworks Experience in predictive modelling techniques such as Regression, Classification and Time series forecasting Practical Knowledge of data structures and algorithms as applied to large-scale data mining Proficiency in Python for data analysis and developing algorithmic solutions Experience working with large datasets, querying (e.g., SQL), and data manipulation Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit . For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

As an Industry Readiness Trainer for DSA & Python, your primary role will be to train college students and equip them with the necessary skills to thrive in the industry. You will be responsible for conducting hands-on coding sessions, facilitating problem-solving exercises, preparing students for technical interviews, and imparting industry best practices. Your key responsibilities will include teaching DSA, Python, and fostering algorithmic thinking through practical exercises. Furthermore, you will be expected to organize coding challenges, conduct mock interviews, and provide performance reviews to enhance student learning. Additionally, sharing real-world project experiences and insights into industry workflows will be crucial to the role. To excel in this position, you should hold a B.Tech in Computer Science/IT, MCA, MSC, or a related field. You must possess strong DSA & Python skills coupled with expertise in competitive programming and problem-solving. Effective communication and mentoring abilities are essential, along with experience using coding platforms such as LeetCode and HackerRank. The mode of training can vary between On-campus, Online, or Hybrid, providing flexibility in delivering the curriculum. The compensation for this role is competitive and will be commensurate with your experience and expertise, ensuring a rewarding career opportunity in the education sector.,

As a Computational Thinking Instructor based in Chennai, you will play a crucial role in imparting essential problem-solving skills to students by emphasizing logic, pattern recognition, and algorithmic thinking. Your primary responsibilities will include designing and delivering comprehensive computational thinking curriculum, engaging students through interactive lessons, evaluating student progress, and actively contributing to the development of an innovative learning environment. Your key duties will involve collaborating with colleagues to incorporate computational thinking into various educational programs, assessing student work to provide constructive feedback, and ensuring that the learning experience is both enriching and engaging. To excel in this role, you should possess a Bachelors or Masters degree in Computer Science, Mathematics, or a related field. Prior experience in teaching computational thinking or programming is essential, along with proficiency in programming languages such as Python, Java, or Scratch. Strong communication and instructional skills are also necessary to effectively convey complex concepts to students and facilitate their learning journey.,

Do you enjoy tinkering and programming hardware Do you have a natural inclination to see how things work together as a system An exciting opportunity awaits you with deeply engaging embedded systems requirements that will lead you down the rabbit hole of innovation and discovery. If this sounds intriguing, we want to hear from you. You should possess a strong knowledge and extensive experience in C++ programming, going beyond just C. Additionally, experience in abstraction and algorithmic thinking will be highly beneficial. As a ninja of debugging and logical reasoning, you will play a crucial role in identifying and resolving complex issues. Your responsibilities will include designing, developing, and implementing program and process improvements, contributing to the continuous enhancement of our embedded systems solutions. Requirements for this position include a Bachelor's degree in ECE/EE, a minimum of 3 years of relevant experience, and hands-on expertise in device drivers and board bring-up in Linux and FreeRTOS. Proficiency in I2C, SPI, UART, and other serial communication protocols is essential, along with experience in memory mapped devices in both Linux and RTOS environments. Experience with PHY/MAC layer drivers for Linux, hands-on familiarity with Python, and knowledge of automated testing will be advantageous. In return for your expertise and dedication, we offer a comprehensive benefits package that includes opportunities for great career growth, ESOPs, Gratuity, PF, and Health Insurance. Join us on this exciting journey of innovation and growth in the field of embedded systems.,

As a Technical Consultant with our team, you will be a key player in the Infinity development process, from technical design to implementation. Your expertise in Visualizer/Fabric, Java, JavaScript, APIs, and various other technologies will be crucial in supporting the scrum team and contributing to the technical architecture and design. Your responsibilities will include providing guidance to team members, participating in the creation of solution design documents, reviewing requirements for web services, collaborating with the Infinity Solution Architect, engaging with customer project teams and vendors, and communicating with Temenos product teams. In terms of technical deliverables, you are expected to showcase your expertise in Visualizer, Fabric, Java, JavaScript, SQL, SOAP, JSON, web services, APIs, as well as proficiency in programming languages like Java, C#, Python, or Kotlin. Your skills in mobile and web development, database management, DevOps practices, cloud platforms, cybersecurity principles, and microservices architecture will be highly valuable. Your expected skills include a strong understanding of the Software Development Life Cycle (SDLC) in the context of Infinity implementation, the ability to debug code and develop hotfixes efficiently, excellent problem-solving skills, and knowledge of frameworks such as J2EE, JPA, and Spring Boot. Familiarity with database technologies and tools like Postman and Swagger for testing will also be beneficial. Join our team as a Technical Consultant and be part of a dynamic environment where your technical expertise and problem-solving skills will play a significant role in the success of our projects.,

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

What We Do Engineers in the Systematic Market Making (SMM) team play an integral role on the trading floor. We develop and employ automated trading strategies for the firm and its clients. We build complex parallel computing architectures, electronic trading tools and models to help us explain market behavior and predict price movement. Throughout the Global Banking and Markets Division (GBM), eTrading Engineers are using quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world, and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading-edge technologies to solve problems in electronic trading. In a team of energetic, self-motivated individuals, we need someone who can take the initiative at any stage of the software cycle, from inception, through development, to release and support.This role also interacts with a variety of other engineering, trading and sales teams. The structure is flat and the successful candidate will be able to manage his or her time to have maximum impact. Your Impact You will be working on a team focused on electronic market making and execution.You will work with other engineers and traders to improve all aspects of price-making, risk management and execution.You'll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. Responsibilities & Qualifications Principal Responsibilities Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal.