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Compliance Officer – Energy Markets

Tesla

Compliance Officer – Energy Markets

Tesla

Amsterdam, Noord-holland

·

On-site

·

Full-time

·

Today

What To Expect
Tesla is seeking a Compliance Officer to support the scaling up of our battery trading & optimization function into European electricity markets with  Autobidder. Autobidder is our in-house developed advanced algorithmic trading platform which maximizes the value of storage by forecasting prices, analyzing market trends, and optimizing operations in real time.

In this role, you will strengthen Tesla’s internal policies and procedures to ensure our commercial operations are in good standing with market rules and governing regulatory obligations. You’ll collaborate closely with engineering, policy, finance, and commercial teams to secure and maintain the necessary market licenses and registrations, while navigating complex regulatory environments. This position is highly cross-functional and critical to Tesla’s expansion into new energy markets.

We’re looking for a driven professional with strong market knowledge, proven regulatory experience, and the ability to thrive in dynamic, evolving environments.

What You'll Do

  • Define requirements and partner with commercial teams to design business processes, systems, and operations to ensure compliance with applicable legal and regulatory obligations and market rules including REMIT.
  • Develop and oversee compliance and risk management frameworks, including reporting, audits, and responses to regulatory or operator requests.
  • Maintain Tesla’s standing with regulatory authorities and system operators; escalate risks and support dispute resolution for fines or penalties.
  • Monitor and interpret policy and regulatory developments; collaborate with Policy & Legal teams to proactively engage stakeholders and shape market design for energy storage assets.
  • Coordinate with global Tesla teams (Policy, Engineering, Product, Commercial, Legal) to build scalable business functions aligned with Tesla’s fast-paced execution culture.


  • What You'll Bring

  • Ability to interpret and apply complex regulatory frameworks, and to communicate them effectively to both technical and non-technical stakeholders
  • Strong understanding of European electricity markets and energy trading Experience with developing compliance and risk management frameworks, internal policies and procedures to address compliance obligations related to operating in electricity markets
  • Strong problem-solving, analytical, and decision-making skills, with the ability to operate effectively in ambiguity
  • Excellent collaboration and communication skills, with fluency in English and another European language such as German or French
  • A proactive, curious mindset with a bias for action
  • Candidates must possess the legal right to work in the UK


  • , Tesla

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    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    3.8

    10개 리뷰

    워라밸

    2.2

    보상

    3.8

    문화

    3.5

    커리어

    4.1

    경영진

    2.8

    65%

    친구에게 추천

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,398개 데이터

    Junior/L3

    Mid/L4

    Junior/L3 · ASSOCIATE ANALYST

    2개 리포트

    $104,000

    총 연봉

    기본급

    $80,000

    주식

    -

    보너스

    -

    $104,000

    $104,000

    면접 경험

    4개 면접

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts