Polar jobs

Band 5 - Registered General Nurse - Crewe Crewe

Warehouse Supervisor HUTHWAITE, United Kingdom Warehouse Supervisor. Monday to Friday. 40 hours a week. 0830-1700. Based at Polar Speed Distribution Ltd, Nunn Brook Road, Huthwaite, Sutton in Ashfield, NG17 2HU. Responsibilities. Support the wareh...

MR-RSV-泉州 China posted: Posted 24 Days Ago

Brazil - Remote: Data Engineer - Platform & Pipelines Brazil - Remote: Data Engineer - Platform & Pipelines We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are implementing a strict Medallion Architecture to organize petabytes of industrial data. This role is for a Data Engineer who excels at transforming raw chaos into structured, queryable assets. You will build and maintain the ELT pipelines that move data from "Bronze" (Raw) to "Silver" (Cleaned) and "Gold" (Aggregated). You will work with Delta Lake (On-prem/ Databricks), Polars and Airflow to ensure data quality and availability for Data Scientists and the Knowledge Graph. What You'll Do Pipeline Development: Develop and maintain robust Airflow DAGs to orchestrate complex data transformations. Data Transformation: Use Spark (when scale requires) and Polars to clean, enrich, and aggregate data according to business logic. Architecture Implementation: Enforce the Medallion Architecture patterns, ensuring clear separation of concerns between data layers. Performance Tuning: Optimize processing workflows (Polars/Spark) jobs and SQL queries to reduce costs and execution time; make intelligent decisions on when to use Polars vs. Spark. Deployment & Operations: Manage code deployment to on-prem

Business Development Manager-LATAM SAO PAULO, São Paulo, Brazil Marken, UPS Healthcare Precision Logistics (formerly Marken, MNX & Polar Speed), the clinical and advanced therapy subsidiary of UPS Healthcare, unites expertise across healthcare and complex secure l...

Class 2 HGV Driver Days Birmingham, United Kingdom Job Description. HGV Class 2 Driver Days. Polar Speed Distribution Limited, Unit 10 Nobel Way, Birmingham, B6 7EU. 40 Hours. Monday to Friday. 0600 start time. Polar Speed, a UPS company, is a logisti...

Quantitative Software Developer New York Role/Responsibilities: We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. This exceptional individual will be a member of a small team of data and software developers who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. Responsibilities include: - Building processes and technology tools to ingest, tag and clean datasets. - Assisting Data Scientists with data processing, enrichment, and product development. - Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++. - Monitoring and enhancing the automated data collection and cleansing infrastructure. - Researching new technologies for improved data management and efficient retrieval. Requirements: - B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics. - Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals - Proficiency with Go and/or C++ is not required but is a big plus - Hands-on experience with software architecture and engineering

HRSG Field Engineer Remote posted: Posted 15 Days Ago

Data Engineer New York, New York, United States About the Position We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to understand markets and the global economy-think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds. Clean, well-structured data is the difference between noise and a profitable trading signal. You'll work closely with trading desks to identify Jane Street's data needs, evaluate datasets, and build pipelines that ingest and transform external data. You'll figure out what data means and how best to represent it. We build our own tools and software when needed, so you'll also help shape the systems you use every day. This is a collaborative role, but you'll own your work from end to end. It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next. About You - Have strong programming skills in any language (Python a plus); you write clear, correct, and maintainable code - Proficient with SQL or DataFrame libraries like pandas or Polars - Intellectually curious with a meticulous approach to data investigation; you enjoy the detective work required to make sense of unfamiliar datasets - A clear and concise communicator Prior experience with financial data is helpful but not required. We're happy to

Band 5 - Registered General Nurse (RGN) - Somerset Somerset

Analytics Engineer Limassol, Lemesos, Cyprus Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are developing a partner advertising high-load system with a large RPS, convenient and modern interface. We are growing exponentially and successfully implementing new technologies to accelerate this growth and the system as a whole. Now we look for a Analytics Engineer to join our team. Job Responsibilities - Transform business requirements into data models and ETL processes - Develop and maintain data marts (Spark, Iceberg, Clickhouse) using DBT - Write and optimize SQL queries for analytical tasks - Document data models and business logic - Ensure data quality through automated tests - Collaborate with analysts to understand data needs - Optimize ETL pipelines and query performance - Monitor and troubleshoot data pipeline issues - Participate in code reviews and develop team best practices You'll thrive here if you have SQL (advanced level): - Complex analytical queries (window functions, CTEs, subqueries) - Knowledge of OLAP systems specifics - Understanding of execution plans and performance optimization (as a plus) Python (intermediate level): - Data processing (pandas, polars) - Task automation (Airflow) DBT - Building transformation DAGs - Incremental models and snapshots - Model documentation - Data testing experience will be a plus Analytical thinking: - Understanding business processes and their reflection in data - Ability to translate business requirements into technical solutions - Knowledge of metrics and KPIs That can be a plus: - Spark, including PySpark -

Senior Manager, Engineering - Endpoint Security Remote, United States posted: Posted 3 Days Ago

Quantitative Software Developer New York ABOUT CUBIST: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. RESPONSIBILITIES: - Building components for both live trading and simulation - Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components - Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards - Maintaining and updating the platform, ensuring its stability, robustness, and security - Developing robust data checking and storage procedures - Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements REQUIREMENTS: - Bachelor's degree or higher in computer science or other STEM discipline - Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals - Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) - Proficiency with Linux - Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control) - Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful - Proficiency with C/C++ is a plus - Experience with designing and implementing trading systems is a plus - Commitment to the highest ethical standards

Electrical Engineer (all genders) AT-Villach (2911)

Quantitative Developer - Python Chicago, United States IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact. Your Core Responsibilities - Build and maintain systems that span research and production, enabling rapid iteration from idea to production - Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints - Define, compute, and curate features across instruments, regimes, and time horizons - Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution - Contribute to strategy optimization, balancing expected performance with real-world constraints - Debug issues end-to-end across research and execution Your Skills and Experience - 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund - Strong production experience in Python, including data analysis workflows (pandas, polars, or similar) - Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks - Solid understanding of ML concepts as applied to systematic strategies, from research through production - Experience with low-latency systems is valuable - Ability to work fluidly across research and engineering teams The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus

Quantitative Developer New York, United States IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact. Your Core Responsibilities - Build and maintain systems that span research and production, enabling rapid iteration from idea to production - Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints - Define, compute, and curate features across instruments, regimes, and time horizons - Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution - Contribute to strategy optimization, balancing expected performance with real-world constraints - Debug issues end-to-end across research and execution Your Skills and Experience - 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund - Strong production experience in Python and C++, including data analysis workflows (pandas, polars, or similar) - Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks - Solid understanding of ML concepts as applied to systematic strategies, from research through production - Experience with low-latency systems is valuable - Ability to work fluidly across research and engineering teams The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary

Band 5 - Biomedical Scientist - Histology - Manchester Manchester, Greater Manchester

Antarctic Airfield Manager 6314 Remote/Teleworker US posted: Posted 30+ Days Ago

Data Science Engineer, Analytics Remote This is a fully remote role within the United States. We're looking for a driven, entrepreneurial Data Science Engineer to join our team and help eliminate the financial complexity of healthcare. You'll join our Data Science Engineering team supporting analytics, partnering closely with Product, Engineering, and business stakeholders to help Turquoise grow and scale our impact by making better decisions with data. From defining product metrics and measuring customer engagement to enabling self-service analytics and evaluating business initiatives, you'll build the datasets, pipelines, dashboards, and analyses that transform data into actionable insights across the company. Responsibilities - Partner cross-functionally with Product, Engineering, and business stakeholders to define metrics, measure outcomes, and evaluate impact - Build and maintain data pipelines, data models, dashboards, and analytical infrastructure that support product, operational, and strategic decision-making - Conduct analyses to understand product adoption, customer engagement, business performance, and operational efficiency - Contribute to the development of analytics best practices, shared datasets, and company-wide metrics - Seek and act on feedback from internal stakeholders; iterate quickly with an eye toward value What you'll bring to the role - Bachelor's degree or equivalent experience. Non-traditional backgrounds welcome - 2+ years developing data models, pipelines, and end-to-end analytical solutions in Python and SQL. Comfortable with OOP and functional patterns, code organization beyond scripts, and debugging workflows - Experience with dataframe libraries (pandas, polars) - Experience with ETL/ELT workflows and orchestration (Airflow, dbt) - Comfort with cloud services (AWS S3, EC2,

Senior Anthropic Forward Deployed Engineer - GPS Location not specified

Quantitative Python Developer Mumbai, India IMC's Python Development team partners directly with our equity and index options trading desks, blending financial theory, software engineering, data-visualisation, and applied research to convert raw data into trading edge. You'll operate in a high-calibre, intellectually stimulating environment that leverages cutting-edge technology, proprietary tools, and vast datasets. Working side-by-side with traders and software engineers, you'll see your work move swiftly from idea to production and directly influence trading performance. Our culture prizes innovation, collaboration, and continuous learning-where creative problem-solving, a strong sense of responsibility, and rigorous diligence drive success. Your Core Responsibilities: - Collaborate closely with traders to refine existing strategies and generate new ideas. - Build, maintain, and enhance research frameworks and data pipelines that enable trading and quantitative research. - Develop, back-test, and implement discretionary and systematic trading strategies using large, diverse datasets. - Curate, transform, and present data in clear, accessible formats for traders and researchers. - Drive end-to-end research cycles - from ideation through production deployment. Your Skills and Experience: - Bachelor's in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline. - 3+ years of professional Python development experience, with strong, production-level coding skills; familiarity with additional languages is a plus. - Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow). - Proven ability to handle large datasets, architect and optimise data pipelines, and present data effectively. - Foundational knowledge of quantitative trading concepts and equity/index options - whether

Cortex Cloud Specialist Office - Japan - Tokyo posted: Posted 30+ Days Ago

Senior Software Engineer (Golang, Python, SQL) Pune, MH, India Company Description: Job Description: As a Senior Software Developer at Digital-shelf NielsenIQ's platform for omnichannel CPG brands analytics, you'll work across as backend software to deliver scalable, high-performance solutions that drive real-time insights for our clients. Key Responsibilities: Design, develop, and maintain backend services with a strong focus on performance and scalability. Implement efficient algorithms and seamless user experiences using Python, Golang Collaborate with cross-functional teams including product managers, designers, and data researchers to translate business needs into technical solutions. Optimize applications for performance, security, and responsiveness. Lead architectural discussions and mentor junior developers through code reviews and best practices. Build and integrate RESTful APIs to support dynamic data access and delivery. Own end-to-end delivery of features, including infrastructure, backend, and frontend components. Stay up to date with industry trends and contribute innovative ideas to evolve the platform. Contribute to Agile practices including sprint planning, estimation, and documentation. About Digital-shelf at NIQ Digital-shelf provide a powerful, collaborative analytics platform that helps brands interpret and master their omnichannel data. Real-time e-store data and advanced AI algorithms offer actionable insights and clear strategic guidance for optimized execution across an organization. Qualifications: Tech Stack & Tools: Frontend: React.js, HTML5, CSS3, Next.js Backend: Golang, Python Cloud & DevOps: Google Cloud Platform (GCP), Filestore Databases: PostgreSQL, SQL, Redis, MongoDB Analytics Engines: DuckDB, Polars Testing & Automation: Cypress.io Other Tools: RESTful APIs, Git, Agile methodologies Nice to Have: Experience with React.js, HTML5, CSS3, Next.js, rust. Familiarity with

(Sr) Mgr, PV Shanghai posted: Posted 30+ Days Ago