Machine Learning Engineer

Job Description

• We are seeking a talented technical excellence among the entire staff of the financial department of our firm.
• We believe you can use our in-depth experience in technology applications and new technologies, data analytics, management, operational efficiency and performance management.
• At Julius Baer, we evaluate how people work and the value creation problems they are facing, enabling them to be successful, to be empowered to, to be empowered, to create value while making the right decisions.
• Let's shape the future of investment together.

Responsibilities

• Develop, maintain, and optimize machine learning algorithms and models to extract insights and improve client service and investment performance.
• Design and implement advanced predictive models to forecast market trends and optimize portfolio risk and returns.
• Work closely with business colleagues to understand the business needs and translate them into technical requirements for the machine learning solutions.
• Analyze large volumes of financial data to identify anomalies and patterns and optimize strategies for asset allocation and risk management.
• Collaborate with other IT teams to integrate machine learning models into existing systems and workflows.
• Perform data quality checks and address data-related issues to ensure accurate and reliable machine learning models.
• Conduct research into new machine learning techniques and techniques to stay current with the latest advancements in the field.
• Must have strong experience in machine learning and data analytics.
• This position is primarily focused on managing risk and strategies and making and use of risk management data and decision-making systems, and compliance of financial regulations.

Qualifications

• Knowledge of financial modeling, algorithmic trading, and machine learning techniques.
• Experience with Python, R, or other relevant programming languages used in financial markets.
• Experience with machine learning frameworks such as TensorFlow, Pytorch, or Keras.
• Understanding of financial markets, including equity, fixed income, forex, FX, or crypto.
• Experience with data analysis, statistical analysis, and visualizations (e.g., Tableau, Power BI, QlikView).
• Excellent communication and collaboration skills, with the ability to clearly explain complex technical concepts.
• Self-motivated, a proactive learner, and a team player with a willingness to work in a collaborative environment.
• Proficient (intermediate).
• Technical experience and expertise in research, data analysis, machine learning techniques.
• Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn, or Keras).
• Hands-on experience with Python for data analysis, machine learning, and visualization.
• Experience with data analysis, statistical analysis, and business knowledge of finance and credit are a major plus.
• Excellent problem solving and innovative skills, with a focus on driving business value and customer satisfaction. (e.g., using machine learning to gain insights for trading).
• Proven track record of successful delivery of advanced projects and products within the finance industry. (e.g., creating machine learning models for risk management, portfolio optimization).
• Excellent communication and presentation skills, with the ability to communicate complex ideas effectively.
• Proactive and self-motivated with a desire to keep up with new trends and technologies (e.g., stay current with the latest advancements in machine learning, AI).
• Relevant certifications, such as PMI, CRCMP, CFA, CFP, CAIA, etc., are a plus.
• Bilingual (English and Chinese) is an added advantage as the company is a global firm with operations in other major financial centers.
• At the moment, no relevant experiences are being sought for the position, but we take applications with either 3 weeks' notice or less is a requirement for this role.