Machine Learning Engineer

Luxoft; Basel; Vor Ort; CHF 120’000 - 180’000; Vollzeit

Zusammenfassung

A leading company in the banking sector is seeking an experienced specialist in machine learning to design and implement advanced models. This role requires strong statistical knowledge, expertise in Python and R, and a solid understanding of financial markets. The specialist will work with diverse teams and ensure model performance meets regulatory standards while translating complex data into actionable insights.

Qualifikationen

• Strong foundation in statistics and mathematics required.
• Deep expertise in Python and R necessary.
• Understanding of financial markets and regulatory frameworks is crucial.

Aufgaben

• Design and implement machine learning models for financial datasets.
• Evaluate and validate model performance for regulatory compliance.
• Collaborate with IT and data scientists for model alignment.

Kenntnisse

Statistics

Probability

Linear Algebra

Python

R

Machine Learning

Deep Learning

Data Analysis

NLP

Time-Series Forecasting

Communication

Collaboration

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

Jobbeschreibung

Project description

We are looking for an experienced specialist to work for one of our client from the banking industry.

Responsibilities

• Design and implement advanced machine learning and deep learning models tailored to complex financial datasets and business objectives.
• Apply statistical and mathematical methods to analyze data trends, assess risk, and inform predictive modeling.
• Evaluate, validate, and monitor model performance, ensuring accuracy, stability, and regulatory compliance.
• Collaborate with financial analysts, IT teams, and data scientists to align models with operational and strategic goals.
• Translate technical results into actionable insights through clear visualizations and communication to non-technical stakeholders.Stay current on evolving financial regulations, market developments, and innovations in AI applications for the banking sector.

SKILLS

Must have

• Strong foundation in statistics, probability, and linear algebra, essential for developing interpretable and robust models.
• Deep expertise in Python and R, with hands-on experience using libraries such as scikit-learn, TensorFlow, PyTorch, and Pandas.
• Solid understanding of financial markets, instruments, and regulatory frameworks, enabling informed model development and deployment.
• Proven ability to evaluate and validate models for fairness, accuracy, and real-world relevance.
• Exceptional communication and collaboration skills, with experience presenting to business leaders and cross-functional stakeholders.Experience with deep learning frameworks, NLP, and time-series forecasting in financial contexts is highly desirable.

Nice to have

n/a