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Lead Quantitative Developer (Python)

Prometeia

Are you curious and ready to take on a new career challenge? Are you eager to join a dynamic company and bring innovation through your work and skills?

Prometeia offers opportunities for growth and training within a Group with over 1,200 professionals serving more than 500 clients in 20 countries worldwide.

Among the European leaders in Enterprise Risk Management, Prometeia is looking for a Lead Quantitative Developer (Python) to join its internal development team.

Mission

  • Lead the industrialization, evolution, and maintenance of Prometeia’s quantitative libraries across the risk, climate, and credit domains, acting as a key link between quantitative research, software development, and delivery.
  • The role will directly contribute to the development and evolution of quantitative frameworks, the definition of engineering and ModelOps standards, and the transformation of library development and maintenance processes through the pragmatic adoption of AI-assisted development tools and practices.
  • One of the key objectives of the role will be to support the evolution of the quantitative library lifecycle by introducing and consolidating AI-assisted development practices and tools to support code writing, testing, documentation, and software maintenance.
  • The position is not focused on developing new quantitative methodologies or mathematical models, but rather on engineering, scalability, quality, and distribution of the libraries developed by quantitative teams.

Responsibilities

  • Collaborate with quantitative teams across different competence lines to understand methodological requirements and translate them into industrialized software components.
  • Lead the engineering of models, algorithms, and quantitative libraries developed by research teams, ensuring robustness, scalability, quality, and maintainability.
  • Ensure the effective integration of methodological and modelling components into product libraries and frameworks, including, where required, contributing directly to their implementation.
  • Define architectures, development standards, testing practices, and delivery processes for quantitative software.
  • Support other quantitative developers in design activities, code reviews, troubleshooting, and improving code quality.
  • Contribute to the evolution of ModelOps processes.
  • Contribute to the evolution of quantitative library development processes through the pragmatic adoption of AI-assisted tools for coding, testing, documentation, and maintenance.
  • Collaborate with the product team in defining engineering and delivery processes for Prometeia’s quantitative libraries.

Technical Skills (Must-have)

  • Advanced Python skills in scientific and numerical computing contexts.
  • Strong proficiency in pandas and numpy.
  • Significant experience with Spark/PySpark in the development and maintenance of distributed processing pipelines and libraries.
  • Experience designing and maintaining Python libraries intended for enterprise use.
  • Experience industrializing quantitative models and transforming analytical prototypes into production-grade solutions.
  • Knowledge of software engineering practices, CI/CD, testing, and packaging.
  • Knowledge of ModelOps principles applied to quantitative models and analytical libraries.
  • Ability to effectively interact with quantitative stakeholders.

Nice-to-have

  • Experience with complex analytical projects in risk management, credit, climate risk, or related quantitative domains; knowledge of relevant quantitative methodologies.
  • Experience with Docker and reproducible development/deployment environments.
  • Experience with GitHub Actions, GitLab CI, Azure DevOps, or equivalent tools.
  • Modern Python packaging experience (pyproject.toml, wheels, semantic versioning).
  • Experience coordinating technical activities or mentoring developers and quantitative researchers.
  • Experience defining development standards and engineering processes for multidisciplinary teams.
  • Advanced technical documentation skills (MkDocs, Sphinx, publishable notebooks, operational guides).
  • Professional proficiency in English.

Requirements

  • Scientific degree (Mathematics, Statistics, Physics, Engineering, Computer Science, Quantitative Economics, or related fields).
  • High level of seniority, strong autonomy in decision-making, and ability to drive technical standards and choices.
  • Ability to provide technical coordination and collaborate across quantitative, product, and delivery teams.

WHAT WE OFFER

COMPENSATION, WELFARE & BENEFIT

Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it "Total Compensation," and it is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING

Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational approach based on trust that delivers benefits in terms of work/life balance, environmental impact, and optimized company results through the autonomy and empowerment of people.

PEOPLE PROGRAM

Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are established within projects, where reciprocal, timely feedback is exchanged. The process is fully digitized and aimed at continuously improving the individual's and the company's development trajectory.

TRAINING

Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, as well as to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, as it provides immediate and direct exposure to the market.

WIN/WIN POLICY

If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus! This is an important opportunity to contribute to Prometeia's overall growth by attracting recognized market professionals and new tech talent.

Through the dedicated app Pr(Home)teia, we have completely digitalized and integrated the management of our physical and virtual environments. Access to the office, smart working, workstations, meeting rooms, car pooling... everything is just a click away.

COMMUNITY

Our Community is extremely diverse, as are the skills of the people who are part of it and share its values, as well as the individuals and organizations that are directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, and non-profit entities with which we actively collaborate are stakeholders who represent great value to us in terms of trust and collaboration.

DIVERSITY

We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities.

IMPACT

We take an active role in protecting the environment, the territories, and the communities in which we operate. Our Headquarters in Bologna has obtained LEED Gold Certification, one of the highest awards recognizing the building's performance in terms of energy and water savings, reduced CO2 emissions, and improvements in the ecological quality of the interior, materials, and resources used. In the Sustainability Report, we report on the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda, which was drafted by the United Nations in 2016 and which we have been supporting since 2020.

#J-18808-Ljbffr
Offerta di lavoro pubblicata 1 giorno fa
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