1 to 25 of 115 Operations Research Jobs

with trading, technology, and risk teams to deliver impactful tools and analytics. The team specializes in building models that leverage Machine Learning, Statistics, and Operations Research to solve complex business challenges. As a Vice President in QTR Prime Finance, you will collaborate with senior stakeholders to design … borrow-loan, cash, and synthetic financing books, as well as predictive analytics to forecast borrow rates, product demand, and other key business drivers. Apply operations research and optimization techniques to automate and enhance traders' decision-making and inventory management. Analyse market data to uncover patterns, causality ...

client wanting to work with us again. You'll bring together a cross-functional team to make it happen, spanning patient services, practitioner operations, programmes, business intelligence, product & tech, Commercial and Research. What you'll be doing Client relationship and contract governance Co-own the client relationship for assigned … bids and funding applications by providing operational evidence, delivery track record and client intelligence. Internal coordination and reporting Coordinate across functions (product & tech, Service Operations, Research, and project management) to deliver against each contract's specification and study requirements. Produce weekly operational reporting for your contracts ...

soon as possible thereafter. We envision this professorship to further strengthen the Department of Information Systems in terms of its global reputation for research and teaching, as well as its contribution to and significance for society and the economy. Therefore, we are looking for an outstanding individual … focus on the aforementioned areas the ability and interest to establish meaningful links with the existing expertise in the department, including machine learning, operations research, operations management, social media analytics, business process management, digital innovation, and public administration the ability to complement the department ...

This is an opportunity for a Data Operations Manager to join a research and analytics business focused on improving data delivery, automation, and operational processes. You'll work across a range of data projects, helping to drive efficiency and support the continued development of the data function. … join a collaborative team where data and technology play a key role in project delivery. The Role You will be responsible for managing data operations and supporting the delivery of quantitative research programmes.Key responsibilities include: Managing survey scripting, data processing, reporting operations, and workflow delivery Improving ...

aspire to be the best, and work with the best, this is where you belong. About the Role The Research Services Manager – Operations, AI Platforms is an integral part of Latham's Research Services team. This role will be responsible for leading the evaluation, testing … platforms, evaluating performance, and recommending activation or disablement of features based on business and security needs Partnering with the Research Services Manager – Operations, Research Services leadership, and key stakeholders to evaluate emerging AI research technologies and support recommendations for platform selection, implementation ...

systems. About the role Anthropic is seeking a Contracts Manager to join our team in London. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely … running local enablement sessions to keep business teams informed and aligned. You'll build scalable contracting processes and collaborate across Product, Sales, Finance, Business Operations, Research, and Procurement teams. Key responsibilities Draft, analyze, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners ...

team of data scientists, analysts and engineers; set technical direction across data science and analytics projects; and partner with senior leaders across development operations, research units, finance and technology to translate business need into high-impact, responsibly built solutions. Responsibilities Strategy & vision Define and own the strategy … advanced analytics in a regulated environment. Qualifications/Skills Basic Qualifications: Doctoral degree in a quantitative or scientific discipline (e.g. statistics, computer science, engineering, operations research, economics, physical or life sciences) with 10+ years of relevant experience; or a Master’s degree with extensive years of relevant ...

operates at the intersection of data analytics, operational improvement, operational strategy and business improvement. The successful candidate will create integrated views of our operations by combining operational data, process maps, capacity models and financial information to support decision-making across Manufacturing, Testing, Supply Chain, Quality, MSAT, Engineering and supporting … manufacturing or other regulated industries. (P)Familiarity with eBR, MES, LIMS, ERP and operational data architectures. (P)Experience with simulation modelling, capacity planning or operations research techniques. (P)Understanding of Lean, Six Sigma or Operational Excellence methodologies. (P)Experience developing business cases and supporting strategic investment decisions. ...

plank owners of a new simulation center being built in the UAE.This role is ideal for individuals who can reason across military operations and technical systems, evaluate performance tradeoffs, develop and deploy scenarios with Python and YAML, and communicate how system design decisions affect operational utility. WHAT … Engineering, Computer Science, Data Science, Physics, Mathematics, or a related technical fieldOperational military background with a subsequent transition into an ORSA, M&S, or Operations Analyst positionExperience with AFSIM plug-in development or other advanced M&S framework customizationFamiliarity with model-based systems engineering, digital engineering, operational test, or ...

plank owners of a new simulation center being built in the UAE. This role is ideal for individuals who can reason across military operations and technical systems, evaluate performance tradeoffs, develop and deploy scenarios with Python and YAML, and communicate how system design decisions affect operational utility. WHAT … Computer Science, Data Science, Physics, Mathematics, or a related technical field Operational military background with a subsequent transition into an ORSA, M&S, or Operations Analyst position Experience with AFSIM plug-in development or other advanced M&S framework customization Familiarity with model-based systems engineering, digital engineering, operational ...

plank owners of a new simulation center being built in the UAE. This role is ideal for individuals who can reason across military operations and technical systems, evaluate performance tradeoffs, develop and deploy scenarios with Python and YAML, and communicate how system design decisions affect operational utility. WHAT … Computer Science, Data Science, Physics, Mathematics, or a related technical field Operational military background with a subsequent transition into an ORSA, M&S, or Operations Analyst position Experience with AFSIM plug-in development or other advanced M&S framework customization Familiarity with model-based systems engineering, digital engineering, operational ...

Collaborate with SME's to clean and prepare input data, defining statistical distributions such as Poisson and Gaussian that accurately reflect process variability. Apply Operations Research techniques, including mixed integer programming, heuristics, scheduling, graph optimization, and queueing theory, within simulation environments to identify global optima versus local … improvements. Conduct rigorous testing to ensure model behavior matches historical data and reality. Required Qualifications: BS or MS in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, or a related quantitative field. Deep understanding of Discrete Event Simulation (DES) principles, including entities, resources, queues, and events. Proven ...

management and expertise in developing statistical techniques to analyse data and find patterns. You'll be part of the Vulnerability management oversight and governance Operations team, working within integrated operations squads to build and embed industrialised decision‐support software products. This area plays a critical role in improving … team members and promote adoption of modern analytics and AI practices. What You'll Bring · Expert capability in applied machine learning, optimisation and operational research techniques· Strong Python expertise with experience delivering production‐quality data science software· Experience working with cloud platforms and modern ML tooling· Strong software ...

## Data Operations SpecialistApplylocations: London, UKtime type: Full timeposted on: Posted Todayjob requisition id: R3435**Business Unit:**Data Strategy Group**Industry:**No Industry**Overview**Houlihan Lokey, Inc. (NYSE:HLI) is a leading global investment bank recognized for delivering independent strategic and financial advice to corporations, financial sponsors, and governments. … perspectives that help our clients achieve their most critical goals. To learn more about Houlihan Lokey, please visit HL.com.**Overview/Scope**The Data Operations Specialist is responsible for owning and advancing enterprise-wide data standards, processes, and controls. This role serves as a senior individual contributor within Data ...

Description Join a pioneering team at the forefront of systematic trading innovation. The Quantitative Trading & Research (QTR) group is responsible for systematic trading across FX, Rates, Commodities, Credit, Equity and a wide range of markets. Within QTR, AI Market Lab brings together quantitative research, modern artificial … with ML infrastructure engineers. Required Qualifications, Capabilities, And Skills Advanced degree (Master's, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre‐training a large model from scratch (Transformer/LLM/multimodal/ ...

Senior Data Scientist, Research, Reliability Analytics Share Senior Data Scientist, Research, Reliability Analytics link Copy link corporate_fare Google place London, UK Mid Experience driving progress, solving problems … mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python ...

Summary The IT Infrastructure Service Specialist - VIP Support provides advanced, hands-on technology support for business users, VIP users, executive stakeholders, AV services, site operations, and limited laboratory technology support as needed. This role supports end-user computing, mobile devices, peripherals, and related IT infrastructure to help maintain reliable … site IT contact for infrastructure projects, laboratory support activities, and technology deployments. • Collaborate with IT Infrastructure, Information Security, Applications, Quality, Manufacturing, Laboratory Operations, Research, Facilities, and other business functions. • Communicate technical issues and their business impact clearly to both technical and non-technical stakeholders. • Maintain appropriate records ...

communication The IT Infrastructure Service Specialist - VIP Support provides advanced, hands-on technology support for business users, VIP users, executive stakeholders, AV services, site operations, and limited laboratory technology support as needed. This role supports end-user computing, mobile devices, peripherals, and related IT infrastructure to help maintain reliable … site IT contact for infrastructure projects, laboratory support activities, and technology deployments. Collaborate with IT Infrastructure, Information Security, Applications, Quality, Manufacturing, Laboratory Operations, Research, Facilities, and other business functions. Communicate technical issues and their business impact clearly to both technical and non-technical stakeholders. Maintain appropriate records ...

capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science, machine learning, AI, or advanced analytics to solve complex commercial problems with ...

management Statistical analysis and predictive modelling AI-enabled analytics and automation solutions Qualifications Qualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience Ideally, You'll Also Have Experience of financial, operational, and commercial reporting and relevant performance metrics ...

unstructured data managementStatistical analysis and predictive modellingAI-enabled analytics and automation solutions QualificationsQualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience Ideally, You'll Also HaveExperience of financial, operational, and commercial reporting and relevant performance metricsAn understanding ...

throughput, model or component reuse, forecast quality, adoption, control effectiveness, and business value. Governance, Partnership & Culture Coordinate with Data & AI, architecture, cyber, infrastructure, risk, operations, legal, compliance, and vendor teams where products depend on shared platforms or require specialist review. Represent quantitative product priorities in Investment Technology, Data … case governance forums, providing transparent rationale for roadmap and investment decisions. Build trusted relationships with investment team members, quantitative engineers, risk professionals, and operations teams across regions. Education & Qualifications Bachelor's degree required; advanced degree preferred. Quantitative discipline such as mathematics, statistics, engineering, computer science, economics, operations research ...

throughput, model or component reuse, forecast quality, adoption, control effectiveness, and business value. Governance, Partnership & Culture Coordinate with Data & AI, architecture, cyber, infrastructure, risk, operations, legal, compliance, and vendor teams where products depend on shared platforms or require specialist review. Represent quantitative product priorities in Investment Technology, Data … case governance forums, providing transparent rationale for roadmap and investment decisions. Build trusted relationships with investment team members, quantitative engineers, risk professionals, and operations teams across regions. Education & Qualifications: Bachelor's degree required; advanced degree preferred. Quantitative discipline such as mathematics, statistics, engineering, computer science, economics, operations research ...

reviews, design discussions, and knowledge sharing Drive adoption of AI best practices Experience & Qualifications: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience 6+ years (Master’s) or 4+ years (PhD) of hands-on experience applying ...

optimisation models in the ODS software product suite. The Data Scientist is in charge of modelling and robust implementation of features contributing to an operations decision‐support product. In developing a product’s core algorithm, the full‐stack Data Scientist role ensures that features integrate seamlessly into the product … business process and use case. Required Skills Strong knowledge of machine learning and optimisation techniques, including supervised (regression, tree methods, etc.), unsupervised (clustering), and operations research (linear, mixed integer programming, heuristics) Fluent in Python (required) and other programming languages (preferred) with strong skills in applying ...