Quantitative Research Engineer Jobs

Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.

2-4 + years of experience in machine learning research and development, with a focus on multi-modal, generative AI, and LLM applications.

Solid understanding of statistical modeling and analysis techniques, and experience with data visualization tools.

Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Knowledge of specific applications such as drug discovery, knowledge synthesis will be a plus.

Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to develop and deploy machine learning models and applications.

Collect, process, and analyze large datasets to identify patterns, trends, and insights.

Develop mathematical models to solve complex financial problems, or support the improvement of existing models.

Write code to implement quantitative methods and develop software tools for the team.

Conduct quantitative research on market trends, economic data, or other relevant subjects.

Assist in preparing reports that summarize research findings and analysis.

Work closely with other team members, including quantitative analysts, data scientists, and traders, to achieve project goals.

Coordinate with R&D Program Manager and other team members in establishing a world class research facility for specialized testing

10 years of relevant industrial or research experience

Minimum 5 years of Experience in advanced materials characterization, including scanning electron microscopy, transmission electron microscopy, and electron backscatter diffraction

Minimum 3 years of experience in mechanical testing, including tensile, fracture toughness, and fatigue testing

Minimum 3 years of experience with metallurgical modelling and/or related software (e.g., Thermo-Calc, JMatPro, etc.)

Strong English communication, presentation skills and the ability to work in a cross-functional team environment are required

Education: PhD (or MSc + experience) in biomedical engineering, tissue engineering, mechanical engineering, chemical engineering, or related discipline

Cell Culture Experience: You have experience working with multiple primary or stem cell types

Develop a deep understanding of Aspect’s microfluidic 3D bioprinting technology and the ability to troubleshoot and innovate as a technical expert

Perform mammalian cell culture, bioink preparation, and other aseptic processes required for printing of bioprinted tissue therapeutics

Create and execute assays to characterize bioprinted constructs, involving techniques such as microscopy, ELISA, rheology, and mechanical testing

Maintain rigorous records of experimental procedures and results, prepare reports, and communicate findings to the team

Excellent data modeling skills, quantitative analysis, and experience working with large datasets

A university degree in finance, economics, mathematics, financial engineering, engineering, or a relevant discipline

Bilingual in English & French with strong English written and verbal communication skills

Knowledge of financial data, capital markets and accounting concepts

Experience using Bloomberg and FactSet

Ability to multi-task and manage several on-going projects at the same time

2+ years experience as a developer in investment management, banking, or fintech

Collaborate with web developers, cloud engineers, and data engineers to integrate our quantitative finance applications into the larger Boosted ecosystem

Knowledge of the financial markets, portfolio construction, and quantitative approaches

Experience with production software development tools (Git, AWS, Jira, Agile)

Exposure to traditional statistics, artificial intelligence, and machine learning in finance

Ability to work in a team environment and communicate effectively with team members, managers, and other colleagues

Excellent data modeling skills, quantitative analysis, and experience working with large datasets

A university degree in finance, economics, mathematics, financial engineering, engineering, or a relevant discipline

Strong written and verbal communication skills

Knowledge of financial data, capital markets and accounting concepts

Experience using Bloomberg and FactSet

Ability to multi-task and manage several on-going projects at the same time

Several years of experience building and shipping software using a variety of technology stacks, or equivalent experience

Experience identifying and justifying research goals in situations of ambiguity and executing towards those goals without explicit direction

Experience creating rapid prototypes that demonstrate a concept to stakeholders and enable decision making

Has held roles that deal with topics at the boundary of human knowledge regarding software development and developers

Have significant experience with machine learning, LLMs, and the rapidly-evolving landscape of techniques and tools used to build intelligence into products

Have significant experience with one or more backend technologies: server-side environments, compute, datastores, networking, infrastructure, devops, security, and programming languages

Expertise in data governance, data validation, and data management processes

Bachelor’s degree in quantitative finance, statistics/machine learning, engineering, data science, engineering, or a related field

Strong collaboration skills and a pro-active approach to communication. Ability to deliver accurate results that have impact on tight deadlines

Master’s degree in quantitative finance, statistics/machine learning, engineering, data science, engineering, or a related field

Experience working with modern cloud-based data ecosystem

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable