Senior Data Scientist
5 months ago
About us @Symphony
We’ve spent the last 10 years building the financial markets largest, most trusted communication network. Over 500 market participants across the buy-side, sell-side, securities servicing, and beyond. Over half a million users from trading desks to operations and custody teams interacting securely and in real-time on Symphony.
But that was only chapter one. We’re now using our technology foundation to accelerate far beyond secure collaboration to become the standard connective layer that enables more efficient and automated workflows across the industry to bring the future to financial markets.
The opportunity and our ambition are huge . But we need passionate, dedicated individuals to get there. At Symphony we work hard and fast. Our unique blend of technology and financial services makes it an environment you won't get elsewhere.
Role Description:
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. You will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the development of innovative solutions.
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.Compensation:
Competitive salary Bonus Plan Benefits and Perks vary based on location.Benefits and Perks:
Regional specific competitive benefits Build your own Benefits (BYOB) perk Many other fun and exciting benefits and activities-
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