Senior Data Scientist
2 months ago
About Symphony
Symphony is a leading provider of secure communication networks for the financial markets. With over 500 market participants and half a million users, we have established ourselves as the trusted standard for secure collaboration and real-time communication.
Our Ambition
We are now leveraging our technology foundation to accelerate the development of innovative solutions that enable more efficient and automated workflows across the industry. Our goal is to become the standard connective layer that brings the future to financial markets.
The Opportunity
We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in developing and implementing cutting-edge AI and machine learning models to extract valuable insights from large datasets.
Key Responsibilities
- Data Modeling and Evaluation: Utilize advanced statistical and machine learning techniques, including Gen AI technologies, to analyze and interpret complex datasets. Evaluate model performance and iterate on models to improve accuracy and efficiency, especially in the context of Gen AI technologies.
- Data Processing: Analyze large, complex datasets to identify trends, patterns, and insights relevant to financial markets, customer behavior, and business performance. Pre-process and clean large datasets to extract relevant features for modeling, with an emphasis on Gen AI data preprocessing techniques. Collaborate with data engineers to ensure data quality and optimize data pipelines for Predictive analytics and Gen AI applications.
- Collaboration and Communication: Work closely with cross-functional teams, including software engineers, data engineers, and domain experts, to integrate AI models, particularly Gen AI models, into applications and systems. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner.
- Continuous Learning: Stay abreast of the latest advancements in data science, machine learning, AI, and financial technologies to bring innovative solutions to the organization. Contribute to the organization's innovation by exploring and implementing new Gen AI techniques and methodologies.
Required Qualifications
- Master's in a quantitative field such as statistics, mathematics, computer science
- Proven experience as a Data Scientist, with a focus on AI and machine learning, including hands-on experience with Gen AI technologies.
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP).
- Knowledge of financial instruments, markets, and risk management.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills.
- Track record of driving technical and challenging products forward with a real passion for design and the ability to form powerful customer insights.
- The ability to communicate externally with customers as well as internally across the entire organization.
- Results-oriented, metrics-driven team player, capable of working in a fast-paced, changing environment; brings a mentality of rapid innovation and the desire to attain big goals.
- Experience with Agile methodologies.
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