Data Scientist | Machine Learning Innovator

** Candidate must have worked in the Financial Industry
** Experience in FINTECH is required
**Remote in Manila, Cebu Onsite
**Onboarding January 2025

WE ARE
A well-funded and highly experienced FinTech startup composed of Wall Street and Silicon Valley veterans. Utilizing decades of experience from trading floors and global financial markets to the leading edge of artificial intelligence, we have created a new type of trading platform that opens investment opportunities to all investors, not just accredited.


YOU ARE
A data science expert with a passion for leveraging machine learning and artificial intelligence to drive strategic insights and competitive advantages. You have a robust background in statistical modeling, data analytics, and advanced AI, with hands-on experience in generative AI, model testing, and training modules. Known for your analytical mindset, you’re skilled at building data-driven models that inform product decisions and optimize business outcomes. You thrive in fast-paced, collaborative environments, and you’re eager to make a meaningful impact in an innovative startup culture. The ideal candidate is creative in their approach to problem-solving and focuses on the high-value impact of their work. You thrive in a fast-paced environment, think outside the box, and can adapt to evolving requirements.

THE JOB
As a Data Science, you will play a key role in shaping our product by developing and refining machine learning models, leveraging generative AI, and architecting scalable AI solutions. You will collaborate with data engineers, product managers, and senior leadership to design, test, and deploy models that enhance our trading platform’s performance and user experience. In this position, you’ll spearhead AI and machine learning initiatives, continuously improving our data processes, testing frameworks, and model training capabilities to ensure reliability and scalability.


RESPONSIBILITIES:

Develop, train, and implement machine learning models to drive core functionalities of our trading platform.
Architect and optimize AI workflows, ensuring efficient data processing, model testing, and retraining.
Design and evaluate generative AI models that add innovative features and capabilities to our platform.
Build and maintain robust testing frameworks for validating model accuracy, reliability, and performance.
Collaborate closely with cross-functional teams to understand product requirements and translate them into data-driven solutions.
Continuously monitor model performance in production, making adjustments to improve accuracy, speed, and stability.
Drive a culture of experimentation, testing, and continuous improvement in our data science practices.



REQUIREMENTS

Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
5+ years of experience in data science, machine learning, or a related AI-driven role.
Expertise in generative AI, including model development, testing, and deployment.
Proven experience as an AI Architect, with the ability to design scalable AI systems and implement effective data workflows.
Hands-on experience in training modules and creating automated pipelines for model training, testing, and evaluation.
Proficiency in Python, R, and SQL, with experience in machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
Strong knowledge of data visualization tools (e.g., Tableau, Power BI) and big data frameworks (e.g., Spark, Hadoop).
Familiarity with cloud platforms (e.g., AWS, Google Cloud, or Azure) and containerization tools like Docker and Kubernetes.
Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Proactive, adaptable, and collaborative, with a desire to work in a fast-moving, innovative environment focused on scaling AI-driven solutions.