Senior Data Scientist
About us @Symphony
We’ve spent the last 10 years building a communication and markets technology company, powered by interconnected platforms: messaging, voice, directory and analytics. Over 1000 institutions use our modular technology built for global finance. Security is in our DNA with uncompromising data protection, end-to-end encryption and resilient architecture, all created on a foundation of trust with our customers .
But that was only chapter one. We’re now building on our purpose-built network, expanding AI-powered, real-time collaboration, redefining flexibility with fully cloud-native software with our trader voice product, and rethinking the industry’s approach to identity verification, connection and intelligence. .
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:
The Senior Data Scientist is a functional specialist and key contributor responsible for driving Symphony’s data science strategy on complex projects and initiatives. This role exhibits wide-ranging experience, using in-depth professional knowledge to resolve complex issues and develop new concepts, methods, and techniques. The Senior Data Scientist is crucial for managing data complexity and ensuring data products are impactful and scalable, with a sizable impact on the function or business unit.
Key Responsibilities:
- Perform rigorous analysis of large, complex data sets and provide strategic insights, hypotheses, and conclusions based upon findings to both technical and non-technical stakeholders
- Designing dynamic data dashboards and presentations to communicate insights to users and empower them with the ability to explore data autonomously
- Respond to ad hoc requests from internal or external customers in a fast-paced environment
- Build, maintain, and improve data models, forecast models, dashboards, and data pipelines
- Create and manage complex SQL queries to handle vast amounts of data, translating these queries into dynamic and production-ready reports using DOMO.
- Coordinate product instrumentation efforts with Product Managers, Engineering and QA teams, from conception through to insight generation
- Implement AI models for predictive and automated processes to communicate data changes to users and provide actionable insights in a timely manner
- Educate Symphony collaborators to become data driven in their day-to-day job
Qualifications:
- Master / MBA / Engineering School in computer science, mathematics, statistics, economics, data science or analytics, or a related field
- 7+ years business experience in a data analyst, data scientist, product management or consulting position in financial or tech related sector with strong use of analytics
- Strong data analysis skills to derive actionable insights and recommendations, demonstrating a track record of successful projects
- Mastery in a data visualization tool (DOMO, Tableau, Power BI, Looker, other)
- Excellent problem-framing, problem solving and project management skills
- Excellent knowledge in SQL and data transformation (ETLs, data flows)
- Experience with predictive analytics, machine learning algorithms, business forecasts
- Familiar with cloud platforms (AWS, Azure, GCP)
- Excellent communication and presentation skills to convey complex findings effectively to diverse audiences
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!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.