At a Glance
- Tasks: Build optimisation models to solve complex operational problems across various industries.
- Company: Boutique quantitative consultancy with a strong reputation in energy and infrastructure.
- Benefits: Direct client exposure, real ownership, and collaboration with senior experts.
- Other info: Dynamic environment with opportunities for professional growth and development.
- Why this job: Make a real impact by solving operational challenges and enhancing your modelling skills.
- Qualifications: 2-5 years in operations research or quantitative modelling; strong Python skills required.
The predicted salary is between 82800 - 101200 $ per year.
Join a boutique quantitative consultancy as an Operations Research Consultant. You will build optimisation models that solve complex operational problems across multiple industries. This suits a strong modeller who wants direct client exposure, real ownership and close work with senior technical experts. The firm has an established reputation across energy and infrastructure.
Responsibilities:
- Formulate and solve optimisation problems using linear, mixed integer and constraint programming
- Build scheduling, allocation and network planning models for a range of clients
- Develop production quality models in Python using commercial solvers
- Design scenario testing frameworks to assess operational and financial trade offs
- Translate client problems into mathematical formulations and present results to technical and executive stakeholders
- Help take models from prototype into live operational use
- Contribute to proposals, project scoping and internal tool development
Required Experience:
- 2 to 5 years in operations research, optimisation or quantitative modelling
- Hands on experience formulating mixed integer programs and working with commercial solvers
- Strong Python; SQL advantageous
- Optimisation applied to real operational problems such as scheduling, rostering, network planning or energy dispatch
- Background in consulting, transport, logistics, energy or defence analytics valued
- Able to explain model outputs clearly to non technical clients
- Exposure to cloud deployment, version control and software engineering practices
Qualifications:
- Degree in operations research, mathematics, statistics, engineering or computer science
- Masters or PhD in operations research, optimisation or a related quantitative field highly regarded
Consultant – Operations Research in Sydney employer: ConnectYou
Join a leading strategy boutique in Australia, where you'll be part of a dynamic team that values rigorous analysis and close client engagement. The firm fosters a collaborative work culture with a strong emphasis on mentorship, providing ample opportunities for professional growth and development. With a focus on deep sector expertise and a partner-led apprenticeship model, this is an excellent place for those looking to make a meaningful impact in the consulting field.
