14 of 14 Operations Research Jobs

group TV-L E13, 100% The Professorship of Operations Management (Prof. Dr. Dr. h.c. G. P. Kiesmüller) at TUM Campus Heilbronn is looking for a research assistant (PhD candidate) (m/f/d). This position is available immediately and is fixed for a term … associate will also take on teaching responsibilities. About us The research orientation of the professorship is characterized by the application of operations research methods or machine learning for the analysis and solution of problems in the field of operations management. The research ...

prototyping, or applied R&D for real-world industrial problems. We welcome candidates with strong backgrounds in areas such as computer science, mathematics, physics, operations research, machine learning, or quantum information science. Ideal candidates are currently pursuing, or have recently completed, a master’s degree or Ph.D. … project, but suitable candidates typically have: Currently pursuing, or recently completed, a Ph.D. in a relevant field such as computer science, mathematics, physics, operations research, quantum information, machine learning, or engineering. Strong programming skills, particularly in Python ; experience with scientific computing, optimization libraries, or machine learning frameworks ...

high-impact contract role focused on building end-to-end agentic AI and LLM-based solutions that solve real business problems across trading, operations, research, and Front Office functions. You'll work directly with business stakeholders to understand workflows, design intelligent automation solutions, and rapidly prototype working … business brief to working solution - velocity is critical Own delivery independently with minimal supervision Business Engagement & Requirements: Engage directly with business stakeholders (traders, analysts, operations, research teams) to understand workflows and pain points Translate business requirements into AI solution designs Demonstrate AI capabilities and educate stakeholders ...

weeks. • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations. • Contribute to the shared Hive knowledge base (reusable agents, templates … network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more ...

developing analytical and AIenabled solutions that result into actionable insights to improve performance, reliability, cost efficiency, and risk management. You will collaborate with engineering, operations, and business teams to translate strategic objectives into validated solutions that support both day-to-day decision-making and long-term planning in asset … contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.* Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development.* Learning & development – Build team capability by offering development opportunities that strengthen professional growth and prepare the team ...

problem-solving, emerging technology, cross-functional collaboration, and finding smarter ways to work. Support digital transformation initiatives that improve workflows, enhance efficiency, and modernize operations across the organization Collaborate with teams across the company to identify process challenges and recommend technology-driven solutions Assist with system integrations, application enhancements … testing, and rollout coordination across key business platforms Help evaluate and implement AI, automation, analytics, and emerging technologies to streamline day-to-day operations Research industry trends, Insurtech innovations, and best practices to support continuous improvement initiatives Partner with leadership and internal teams to support training, communication ...

quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting edge systems … large scale data analysis and compute farms. With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and operations teams functionally around the world. Building on their quantitative research platform and process-driven approach, they also runs discretionary strategies to take advantage ...

state-of-the-art infrastructure which handles their larger trading volumes easily. About the Role Using the firms automated trading framework to research and apply strategies. Responsibilities Using progressive statistical approaches to analyse data and ascertain opportunities for trading. To build upon and develop strong understanding of market … ready. During market – sporadically monitoring behaviour and performance of strategies. Qualifications Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills Programming proficiency with at least one major programming or scripting language ...

facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. Role: Using the firms automated trading framework to research and apply strategies Using progressive statistical approaches to analyse data and ascertain opportunities for trading To build upon and develop strong understanding of market structures … During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys ...

accessible to everyone. THE TEAM ~90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first‐principles … Staff roles. What We’re Looking For Experience: 2–4 years experience with a mix of consulting, and start-ups; founder’s office, operations, or strategy roles in high-growth environments. Strategic Executor: Ability to take ambiguous problems, break them down, and drive toward solutions. Strong Communicator: Excellent written ...

Analytical Consultant | AI, Advanced Analytics & Operational Research UK | Hybrid, 3 days client or site attendance Working with a leading consulting and technology organisation applying AI, advanced analytics and operational research to solve highly complex, real-world challenges across government, infrastructure, defence and commercial environments. The role … Delivering end-to-end data science solutions, from problem definition through to deployment • Combining AI, machine learning and optimisation techniques with traditional operational research methods • Building predictive, simulation and planning models that support operational and strategic decision-making • Working alongside engineering and platform teams across modern data environments ...

including Git versioning, code reviews and delivery predictability What you’ll bring to British Airways: 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 … fast‐moving environments Strong commitment to delivering measurable business value Your experience: Master’s degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience ...

environment) OneChronos is a technology company of diverse technologists, scientists, and market structure enthusiasts innovating at the intersection of capital markets, mechanism design, and operations research. We strive to grow global GDP by designing and operating matching markets leveraging advances in auction theory and artificial intelligence. We’re expanding … Amsterdam. This role is ideal for someone with 1-3 years of experience in financial markets, eager to develop their skills in electronic trading operations and market connectivity infrastructure. As part of our European Multilateral Trading Facility (MTF) operations team, you will play a key role in ensuring ...