innovative risk management models - Build and maintain strategic partnerships with software engineering teams to ensure successful real-time model implementations and new feature creations - Develop and maintain relationships with operations staff to optimize risk management operations - Drive the establishment of scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementation - Provide clear, compelling management … performance, and business impact. - Hire, grow, and develop excellent scientific and analytic talents within the BRP Payment Risk team. BASIC QUALIFICATIONS - A Master in Computer Science, Machine Learning, Statistics, OperationsResearchor relevant field - 8+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Good written and spoken communication … the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - A PhD in Computer Science, Machine Learning, Statistics, OperationsResearchor relevant field - 10+ years of industry experience in predictive modeling and analysis as a scientist or science manager - Experience in managing managers - Machine Learning breadth More ❯
technical leadership and commercial focus, you'll drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in OperationsResearch, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top More ❯
annually. The primary focus of this role is to design, develop, and improve optimisation algorithms that support easyJet's scheduling and network planning decisions. You will apply techniques from operationsresearch and advanced optimisation (e.g. linear programming, mixed-integer programming, network flow, and heuristics) to solve large-scale, real-world problems that directly impact aircraft utilisation, route … tools using Python, SQL, and industry-standard optimisation solvers (e.g. Gurobi, CPLEX, or Pyomo), validating results with operational data, and communicating insights with key stakeholders. Collaboration with the Network, Operations, and Commercial teams is key to ensuring that solutions are robust, scalable, and aligned with strategic goals. You will report to the Senior Commercial Data Science Manager. This role … in the aviation industry. JOB RESPONSIBILITES Design and implement optimisation models to support fleet assignment, aircraft routing, hub planning, and network growth decisions. Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, and IT teams to gather requirements and translate business problems into solvable mathematical models. Develop prototypes and production-ready algorithms using Python, SQL, and commercial More ❯
time, all from our London office. Our technology consistently delivers the best production schedules, and leading companies like Seagate trust Flexciton to run their production 24/7. With operations across the US, Europe, and expansion into Asia, we are on a path to realise our vision for the Autonomous Factory. Job Summary We're seeking a Software Engineer … while delivering solutions that directly impact global semiconductor production. Key Responsibilities Design and implement advanced optimisation solutions for complex semiconductor scheduling and planning problems across our app suite. Research and develop cutting-edge optimisation methodologies including advanced Mixed Integer Linear Programming (MILP), constraint programming, and metaheuristic approaches. Develop sophisticated heuristic search algorithms and discrete event simulation models for … Experience University degree in computer science, operationsresearch, engineering, mathematics, physics or related field. 2+ years of relevant experience in optimisation engineering or real-world operationalresearch, with strong expertise in solving combinatorial problems. Experience delivering optimisation solutions in production software environments. Strong proficiency in Python and object-oriented programming, with understanding of software engineering More ❯
time, all from our London office. Our technology consistently delivers the best production schedules, and leading companies like Seagate trust Flexciton to run their production 24/7. With operations across the US, Europe, and expansion into Asia, we are on a path to realise our vision for the Autonomous Factory. Job Summary We're seeking a Software Engineer … while delivering solutions that directly impact global semiconductor production. Key Responsibilities Design and implement advanced optimisation solutions for complex semiconductor scheduling and planning problems across our app suite. Research and develop cutting-edge optimisation methodologies including advanced Mixed Integer Linear Programming (MILP), constraint programming, and metaheuristic approaches. Develop sophisticated heuristic search algorithms and discrete event simulation models for … Experience University degree in computer science, operationsresearch, engineering, mathematics, physics or related field. 2+ years of relevant experience in optimisation engineering or real-world operationalresearch, with strong expertise in solving combinatorial problems. Experience delivering optimisation solutions in production software environments. Strong proficiency in Python and object-oriented programming, with understanding of software engineering More ❯
level, Bachelor) or current grade (Master) What You'll Bring REQUIREMENTS: Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Statistics, OperationsResearch, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to More ❯
My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access to a wide range of publicly available data sources. They are seeking a researcher with a background in … alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon … the latest academic research Desirable Candidates 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operationsresearch, or another quantitative discipline. Programming in any of the following: Python, C++, or R. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability More ❯
My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access to a wide range of publicly available data sources. They are seeking a researcher with a background in … alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon … the latest academic research Desirable Candidates 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operationsresearch, or another quantitative discipline. Programming in any of the following: Python, C++, or R. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability More ❯
My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access to a wide range of publicly available data sources. They are seeking a researcher with a background in … alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon … the latest academic research Desirable Candidates 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operationsresearch, or another quantitative discipline. Programming in any of the following: Python, C++, or R. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability More ❯
london (city of london), south east england, united kingdom
Anson McCade
My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access to a wide range of publicly available data sources. They are seeking a researcher with a background in … alpha research. Responsibilities Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon … the latest academic research Desirable Candidates 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operationsresearch, or another quantitative discipline. Programming in any of the following: Python, C++, or R. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability More ❯
determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve complicated research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other … functions, Finance, and other Cisco organizations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customization … generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, OperationsResearch, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine More ❯
Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world … to-end with minimal supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define … of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, OperationsResearch, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties More ❯
Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world … to-end with minimal supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define … of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, OperationsResearch, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties More ❯
Scientists to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. We're hiring an OperationalResearch Data Scientist to join our Routing squad, helping to design, test, and improve the models and algorithms that power routing across Relay's first, middle, and last mile. … This role sits at the intersection of operationsresearch and applied data science; it's well-suited to someone who enjoys turning real-world routing challenges into scalable solutions. You'll work directly in a cross-functional squad which includes Operations, Engineering, Data Analytics, and Data Science, to improve the quality of our routes and reduce … commercial constraints into model or algorithm improvements Bring a scientific lens to operational design; measure rigorously, test thoughtfully What we're looking for Academic or Industrial experience in OperationalResearch, specifically combinatorial optimisation and/or graph theory Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in More ❯
Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world … learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. What ou will do Support research and discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph … visualizations and presentations that will resonate with a wide range of audiences. Qualifications What we are looking for Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, OperationsResearchor other quantitative fields. 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics. Ability to More ❯
Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world … learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. What ou will do Support research and discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph … visualizations and presentations that will resonate with a wide range of audiences. Qualifications What we are looking for Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, OperationsResearchor other quantitative fields. 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics. Ability to More ❯
with commerce, payments, and user experience datasets at online services Excellent written and verbal communication skills Bachelors or higher degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, OperationsResearchor a related field More ❯
leveraging causal inference designs Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, OperationsResearch) Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between More ❯
skillsPhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, OperationsResearch, Optimization, or Data Science Or an MS with significant years of industry orresearch experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine …/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality codePublished research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalAbout MLCOEThe Machine Learning Center of Excellence (MCLOE) team partners across the firm to More ❯
must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models … a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, OperationsResearch, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry orresearch experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and … B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal About MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the More ❯
talent-dense team the logistics industry has ever seen THE TEAM • 90 people , more than half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operationsresearch • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first principles thinking , tight feedback loops … things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Emerging tech integrations, including robotics and IoT-powered operations The Opportunity The Delivery Quality squad is Relay's first line of defence against delivery failure. Our mission is to prevent, detect, and resolve quality issues at every stage More ❯
For fuller information of main responsibilities for this post, a job descriptionhas been attached in the Documents section. Person Specification Qualifications Essential Postgraduate degree in management science, operationalresearch, analytics, data science or similar discipline GCSE mathematics or equivalent Experience Essential Extensive experience of producing, analysing and interpreting data information in a work environment, with significant evidence of More ❯
rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems. Successful candidates will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from their research. Our position offers … remit to consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operationsresearch, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in … building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯
Trading is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual … talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems. About the Role: We build predictive models from big data and … Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, OperationsResearch, and more. If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback More ❯
efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Sr. Applied Scientists capable of using GenAI and other techniques to design … state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions … 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. BASIC QUALIFICATIONS - PhD degree in computer science, engineering, mathematics, operationsresearch, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience - 5+ years of hands More ❯
