20 beste Stellen als team lead machine learning in berlin, be – aktuell auf Personalsuche

Senior Audit Manager - Model Validation (f/m/d)
solarisBank AG —Berlin
- 85.000 € – 120.000 € pro Jahr
- Finanzwirtschaft
- Machine Learning
- Python
12 Tage
Machine Learning Consultant (m/w/d)
FRAMEN GmbH —Berlin
- 4.166 € pro Monat
- Teilzeit
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1 Tag
Senior AI Engineer
Bluefish AI —Berlin
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Sensmore —Berlin
- Vollzeit
- Informatik
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Senior Data Engineer on Databricks (m/w/d)
Würth IT GmbH —Berlin
- Azure
- Java
- SQL
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Lead Backend Engineer (all genders)
ABOUT YOU SE & Co. KG —Berlin
- Vollzeit
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- Master
- SQL
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Staff ML Research Scientist (m/f/d)
adjoe —Berlin
- Vollzeit
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Head of Product - Transport & Customs (all genders)
Zalando —Berlin
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ML Ops / Data Engineer - Robotics
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Stackgini —Berlin
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- Hybrides Arbeiten
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- Bachelor
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- Homeoffice
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Sr. Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
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Senior Full Stack Engineer (f/m/d)
Thermondo GmbH —Berlin
- Ab 80.000 € pro Jahr
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Lead Product Manager Trust&Safety
OLX —Berlin
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GetYourGuide —Berlin
- Hybrides Arbeiten
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11 Tage
Consultant (m/w/d) - Pricing & Sales
hy Consulting Group GmbH —Berlin
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- Englisch
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Senior Infrastructure Engineer (f/m/d)
alcemy —Berlin
- Vollzeit
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- Python
- Flexible Arbeitszeiten
Senior Data Scientist (f/m/d)
PAIR Finance GmbH —Berlin
- 76.000 € – 103.500 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Schreibfähigkeiten
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
6 Tage

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Weitere Job-Standorte erkunden

team lead machine learning jobs near berlin, be

Senior Audit Manager - Model Validation (f/m/d)

solarisBank AG -
Berlin

Jetzt bewerben

Details zur Stelle

85.000 € – 120.000 € pro Jahr
vor 12 Tagen

Leistungen

Kostenfreies oder vergünstigtes Deutschland-Ticket

Qualifikationen

TensorFlow
NumPy
Solaris
Finanzwirtschaft
Machine Learning
Python

Vollständige Stellenbeschreibung

Solaris is Europe's leading embedded finance platform. Solaris’ full German banking license and proprietary modular B2B tech stack empowers its partners – from SMEs to large, multinational, non-financial companies – to offer compliant, customer-centric banking services, providing seamless experiences to customers across all industries. Founded in 2016, Solaris pioneered the Banking-as-a-Service market with an unparalleled combination of tech and banking. Solaris is headquartered in Berlin and employs 300 people in Europe.

Your Role

Independent preparation and planning of Non-IT audits assignments and lead end to end audit engagements.
Perform deep-dive technical reviews of complex mathematical models, including machine learning architectures and traditional quantitative finance models (e.g., credit risk, market risk, or valuation models).
Evaluate the mathematical soundness, data lineage, and preprocessing pipelines of AI/ML models to ensure the integrity of inputs, training data, and model outputs.
Functionally challenge model assumptions, mathematical formulations, and calibration techniques used by quantitative development teams.
Draft comprehensive audit reports and coordinate findings and recommendations with stakeholders.
Analysis and independent evaluation of the internal control system and organizational processes.
Coordinate and guide audit team members during audit engagements, including performing audit quality reviews.
Independent review and follow-up of internal and external audit findings.
Deliver concise and impactful management reports on audit outcomes.
Participate in the review and assurance of the internal control system, compliance, security, and efficiency of processes and systems.
Independent support of internal projects in line with relevant regulatory requirements (e.g., MaRisk/KWG).

We'd love to see

Depending on your level of experience, your responsibilities and scope of role will range. We don’t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let’s figure together out how you can contribute to our team.

A higher education degree, preferably in Finance, Economics, Business Management, or Law.
5+ years of relevant work experience in-house or in an audit/consultancy firm in banking (related to MaRisk/KWG/GwG etc.).
Experience as an auditor or consultant in auditing techniques (ToD and ToE).
Experience leading audit engagements including quality audits reviews and management reporting
Very good knowledge of regulatory standards.
Strong theoretical and practical understanding of advanced statistics, probability theory, econometrics, and machine learning algorithms (both supervised and unsupervised learning).
Proven experience in auditing or developing quantitative models, backtesting, stress testing, or sensitivity analysis within a financial or highly regulated context.
A good understanding of audit software.
Experience in reviewing code and model implementations using standard data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch).
Fluent in both English and German communication skills
Ability to deconstruct information and solve problems.
A thorough and accurate approach to work.
Ability to clearly convey information to others.
Stakeholder Management and
Ability to handle disagreements and disputes constructively.
High level of integrity and strong moral principles.
Proactive and involved style of working.

Benefits

Home office budget.
Learning & development budget of €1000 per year and a transparent growth framework to support your career goals.
Competitive salary and a variable remuneration program.
Monthly meal allowance.
Deutschland ticket subsidy.
28 vacation days, increasing by 2 days after 2 years and 3 days after 3 years with Solaris.
Opportunity to work abroad for up to 12 weeks per year.

While job ads usually paint an ideal picture of a candidate, studies show that most applicants meet an average of 60% of the criteria. Unfortunately, many promising candidates tend to apply only if they meet all the criteria. So if you think you have what it takes, but don't necessarily meet every single item in the job description, please contact us anyway. We'd love to talk with you and find out if you might be a good fit for us.

At Solaris, we are committed to nurturing an inclusive environment, where all Solarians feel valued, respected and supported. We are dedicated to building a diverse workforce that reflects the diversity of our communities. We are committed to equal employment opportunity regardless of color, ethnicity, religion, sex, origin, disability, marital status, citizenship, or gender identity. We are proud to be an equal opportunity workplace. If you have a disability or special need that requires accommodation, please let us know.

Information on data processing:

DE: https://www.solarisgroup.com/gdpr_notice_de
EN: https://www.solarisgroup.com/gdpr_notice_en

The annual gross salary range for this position is:

€85.000 - €120.000 EUR

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als team lead machine learning in berlin, be erhalten

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