Machine Learning Engineer

Job Description

• We are seeking a talented individual who exemplifies technical excellence among the entire staff of our firm's finance department.
• We believe you can benefit from our extensive experience in technology applications and new technologies, data analytics, management, operational efficiency, and performance management.
• At Julius Baer, we assess how people work and the value creation challenges they face, enabling them to succeed, to be empowered, and to create value while making the right decisions.
• Let's shape the future of investing 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 resolve data-related issues to ensure accurate and reliable machine learning models.
• Conduct research into new machine learning techniques to stay up to date with the latest advancements in the field.
• Must have extensive experience in machine learning and data analytics.
• This position is primarily focused on managing risk and strategies, developing and utilizing risk management data and decision-making systems, and ensuring compliance with 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 equities, fixed income, forex, FX, or cryptocurrency.
• 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 who is willing to work in a collaborative environment.
• Proficient (intermediate).
• Technical experience and expertise in research, data analysis, and 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).
• A proven track record of successfully delivering advanced projects and products in the finance industry (e.g., developing machine learning models for risk management and portfolio optimization).
• Excellent communication and presentation skills, with the ability to effectively convey complex ideas.
• Proactive and self-motivated, with a desire to stay abreast of new trends and technologies (e.g., stay up to date on the latest advancements in machine learning and AI).
• Relevant certifications, such as PMI, CRCMP, CFA, CFP, CAIA, etc., are a plus.
• Bilingualism (English and Chinese) is an added advantage, as the company is a global firm with operations in other major financial centers.
• At this time, no relevant experience is required for the position, but applicants must be able to provide 3 weeks' notice or less.