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Senior Data Scientist
1 month ago
About Symphony
We're a leading financial technology company that's revolutionizing the way financial markets communicate and collaborate. With over 500 market participants and half a million users, we're the largest and most trusted communication network in the industry.
Our Ambition
We're not just building a communication network - we're creating a platform that enables more efficient and automated workflows across the industry. We're using our technology foundation to accelerate innovation and bring the future to financial markets.
The Opportunity
We're seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you'll play a crucial role in developing and implementing cutting-edge AI and machine learning models to extract valuable insights from large datasets.
Responsibilities
- Data Modeling and Evaluation: Utilize advanced statistical and machine learning techniques to analyze and interpret complex datasets. Evaluate model performance and iterate on models to improve accuracy and efficiency.
- 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.
- Collaboration and Communication: Work closely with cross-functional teams to integrate 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, and financial technologies to bring innovative solutions to the organization.
Required Qualifications
- Master's in a quantitative field such as statistics, mathematics, or 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.
- Results-oriented, metrics-driven team player, capable of working in a fast-paced, changing environment.
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.
