13 of 13 Remote Complexity Analysis Jobs

Entity Framework, SQL Server, Cloud. Experience of desktop technologies (WPF/XAML). Understand the fundamentals in data structures, algorithm design, problem-solving and complexity analysis. Excellent understanding of software design principles. Confident and experienced with automated testing - from unit tests to system and integration tests. Willingness to develop More ❯

Entity Framework, SQL Server, Cloud. Experience of desktop technologies (WPF/XAML). Understand the fundamentals in data structures, algorithm design, problem-solving and complexity analysis. Excellent understanding of software design principles. Confident and experienced with automated testing from unit tests to system and integration tests. Willingness to develop More ❯

critical thinking, collaborative skills and technical initiative * Software design skills for elegant, high performance, easy to maintain code * Extensive knowledge of data structures, algorithms, complexity and concurrency * Strong C++ language knowledge and coding skills Relevant technical knowledge: * Concurrency (multithreading, synchronisation and alternatives, parallel hardware) * CPU ar... More ❯

Demonstrated ability to produce significant output with minimal wasted effort. - Planning: Strong planning, scheduling, and forecasting skills. Focuses on key priorities. - Reporting and Analysis: Ability to structure and process qualitative and quantitative data, drawing insightful conclusions. - Attention to Detail: Meticulous, ensuring no important details slip through the cracks. More ❯

Demonstrated ability to produce significant output with minimal wasted effort. - Planning: Strong planning, scheduling, and forecasting skills. Focuses on key priorities. - Reporting and Analysis: Ability to structure and process qualitative and quantitative data, drawing insightful conclusions. - Attention to Detail: Meticulous, ensuring no important details slip through the cracks. More ❯

in dashboards to provide a cohesive, first-class data visualization experience. Build and optimize innovative solutions that support advanced, modular verification strategies, data analysis, ML-based systems, and workflows. Perform independent execution and completion of tasks by taking full ownership and showing strong attention to detail that leads … Bachelor's Degree in Computer Science, Math, Physics, Engineering, or related quantitative field. Minimum of 2+ years of Python developer proficiency with quantitative analysis experience with packages such as numpy, pandas, scipy, scikitlearn, matplotlib, etc. Proficiency in Linux environment (including shell scripting). 1+ years of experience with … . Experience and/or technical depth in at least one data science-related field such as Machine Learning, Artificial Intelligence, Statistical & Data Analysis, Computational Algorithms, Data Engineering, etc. Experience working with a variety of complex, large datasets. Experience building automated pipelines (e.g., Jenkins, Airflow, etc.). Experience More ❯

deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Key accountabilities: Point-in-time performance analysis for loss provisioning. Long-term ("through-the-cycle") economic capital analysis. Algorithms for automated lending decisioning. Macroeconomic scenario forecasting and stress testing. Simulations of … business decision making and estimation of credit movements in line with IFRS9, IRB and stress testing standards and internal development policies. Performing segmentation analysis and calibration of models. Contributing to the standards and methodologies required to deliver these models. Extracting, transforming, and cleaning the data required for modelling. … Engaging with customer facing Business to understand how our models can support their decision making. Analysis and Investigation: Undertake various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank. Predictive Model Development: Take a role in More ❯

sensor integration, and battle management systems. The Work In this role, you will play a key part in the development, prototyping, implementation, and analysis of algorithms that support tracking, sensor netting, target discrimination, and battle management. Your responsibilities will include: •Designing and refining algorithms for early intercept tracking … and advanced battle management •Modifying existing algorithms to incorporate new data sources and mission needs •Performing comparative data analysis to evaluate algorithm performance and effectiveness •Reviewing technical documentation and ensuring clarity, accuracy, and alignment with project goals •Acting as a technical liaison to working-level counterparts, providing subject … . Who You Are You're an analytical thinker and problem solver with a strong foundation in algorithm development, systems engineering, or data analysis-ideally in a defense or high-tech environment. •Have experience with tracking, sensor fusion, or battle management systems •Are comfortable working with complex datasets More ❯

critical thinking, collaborative skills and technical initiative Software design skills for elegant, high performance, easy to maintain code Extensive knowledge of data structures, algorithms, complexity and concurrency Strong C++ language knowledge and coding skills Relevant technical knowledge: Concurrency (multithreading, synchronisation and alternatives, parallel hardware) CPU architecture (CPI, dynamic execution … caching levels, cache misses, pipeline stalls) Data structures (linear, tree, hash and graph), algorithm selection and complexity (big O) Networking (standard packet protocols, performance in particular contexts) Linux development (user and/or kernel space) and scripting languages (bash, Python) Git, Agile techniques, CI/CD plus TDD or More ❯

You will work closely with the users to port, optimize, and parallelize codes to the users' requirements. You are involved in system performance analysis through benchmarking, tuning libraries, and generally focused on scientific modeling, numerical processes, and other scientific software issues. You will investigate, analyze and make recommendations … combination of modeling and simulation, Fortran and/or C languages, Python, Korn, BASH, and/or Perl scripting, compilers, software benchmarking, system analysis, algorithm and/or software design. Our employees play an active role in strengthening the quality of life where we live and work by More ❯

to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug … experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of … clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations. More ❯

to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug … experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of … clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations. More ❯

or equivalent hands-on experience Experience with GNURadio or similar Software-Defined Radio development environments Experience with analog and digital circuit design and analysis, especially for signal processing applications Experience with electrical and mechanical assembly techniques for lab-based experimentation and rapid prototyping Familiarity with diagnostic equipment/… tools, filters, visualizations, etc. Familiarity with antenna theory, propagation, link budgets, modulation techniques, and receiver/transmitter architectures. Familiarity with DSP algorithms and analysis techniques as well as with the design and implementation of hardware front ends for observing and generating real-world signals Nice-to-have Qualifications More ❯