Data Intelligence Manager - Brussels, België - Luminus
Beschrijving
Luminus' Optimisation department wants to proactively leverage its market expertise to guide Luminus' strategy & activities in line with Luminus' mission statement in order to:(1)
increase Luminus' competitive advantage in a changing market driven by build-out of renewable energy sources, electrification of demand & introduction of newtechnologies;
(2)
reinforce Luminus' resilience in a market characterised by price volatility and uncertainties on energy supply and
(3)
assert Luminus' own interests towards external stakeholders (e.g. Elia, CREG, Fluxys, Engie,...).
In such a way that:
- The
EDF risk mandate is fully respected & challenged when needed - Key
risk management processes are rigorously implemented & operational excellence pursued (including through data management)
Collaboration with internal stakeholders is structurally reinforced
- Optimisation's
dynamic and 'cando' culture is preserved, fostered & efficiently leverage
(1)
data is made accessible to the department in a clean and proper way,
(2)
data is trustworthy & qualitative - data issues are identified (quality, coherence, integrity),
(3)
models (AI, ML, forward curve, option models,) are developed & maintained to support core activities & decision-making and fuel innovation. Responsible for the
development & maintenance of artificial intelligence & machine learning models
(4)
business tools step up in maturity by industrialising Python code & bringing in best practices to ensure code quality (e.g. via peer review,)
(5)
data & modelling expertise existing within the business inspires innovation at Luminus level.
(6) Develop & promote a
culture that looks into developing a
mindset that values innovation while taking into account risk awareness & operational excellence
& values collaboration **within and across departments
(7) Demonstrate
'thought leadership' on
data & modelling, by contributing expertise to help advance Luminus strategic direction and by generating innovative insights and sharing these within Luminus to influence and inspire.
Skills
- Excellent
motivational and leadership skills:
High learning ability to keep the pace with technological innovation- Strong
organisational skills to support delivery of operational improvements
Rigorous regarding accuracy and quality. Takes ownership and accountability for driving towards the highest standards in professionalism and operational integrity.
-
Communicative, very good presentation skills. Ability to communicate complex ideas in a straightforward manner.
-
Strong change management skills including stakeholder engagement and project delivery
-
Customer-oriented attitude:
-
Influencing skills - able to challenge the status quo in a constructive manner to move the business forward.
-
Ability to translate abstract concepts into practical solutions:
Proactive and purposeful attitude- Make the
bridge between the business level and corporate initiatives
Knowledge & experience
- Master in a quantitative discipline, e.g. Engineering or Economics
- Min. 3 years experience in managing teams
- Min. 3 years experience in Optimisation domain, experience of working in a regulated trading role or working closely with trading teams
- Strong and proven track record in
data science / data engineering / AIML:
Experience in leading projects and managing operational processes, ensuring robustness and efficiency
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