Remote Lead Data Scientist - Financial Markets

Placements24; Queenstown (MD); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

100% remote position

Competitive compensation

Professional growth opportunities

Job summary

Placements24 is seeking a visionary Remote Lead Data Scientist with deep expertise in financial markets to spearhead data-driven initiatives in trading, risk management, and portfolio optimization.

You will lead a team of data scientists, mentor juniors, collaborate with researchers and stakeholders, and drive production-ready analytics across cloud platforms while staying at the forefront of ML and statistical modeling in finance.

Qualifications

• Ph.D. or Master in Data Science, Statistics, CS, Mathematics, Economics or related quantitative field.
• 7+ years of experience as a Data Scientist focused on financial markets or quantitative finance.
• Proven track record of leading data science projects and teams.
• Proficiency in Python or R and libraries (Scikit-learn, TensorFlow, PyTorch).
• Strong SQL, big data (Spark, Hadoop) and cloud (AWS/Azure/GCP) experience.
• Deep understanding of statistical modeling, ML algorithms, and experimental design.
• Familiarity with financial instruments, market microstructure, and risk management.
• Excellent problem-solving, communication, and autonomous work in remote settings.

Responsibilities

• Lead development and deployment of advanced ML models for finance.
• Perform complex data mining and statistical analyses on large datasets.
• Develop data-driven strategies for trading, risk management, and portfolio construction.
• Mentor a team of data scientists and collaborate with researchers and stakeholders.
• Work with traders and tech teams to deploy data science solutions in production.
• Identify new data sources and analytical approaches to solve business problems.
• Communicate complex findings clearly to technical and non-technical audiences.
• Oversee data quality and ensure integrity of outputs.
• Stay updated on advances in data science and AI for finance.
• Shape the strategic direction of the data science function.

Skills

Team leadership

Python or R

Machine learning

Statistics

Communication

Remote work

Education

Ph.D. or Master in quantitative field

Tools

Python

R

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is looking for a visionary Remote Lead Data Scientist with deep expertise in financial markets to spearhead cutting-edge data-driven initiatives. This is a fully remote, high-impact role focused on leveraging advanced analytics, machine learning, and statistical modeling to uncover insights and drive strategic decisions in trading, risk management, and portfolio optimization. You will lead a team of talented data scientists, mentor junior members, and collaborate closely with quantitative researchers and business stakeholders. The ideal candidate possesses a strong academic background, extensive practical experience in applying data science to financial problems, and a passion for innovation in a remote setting. Join a globally recognized financial firm and shape the future of data science in finance from wherever you are.

Key Responsibilities

• Lead the development and implementation of advanced machine learning models for predictive analytics, forecasting, and anomaly detection in financial markets.
• Design and execute complex data mining and statistical analysis on large, multi-dimensional datasets.
• Develop and deploy data-driven strategies for trading, risk management, and investment portfolio construction.
• Mentor and guide a team of data scientists, fostering a collaborative and high-performance research environment.
• Collaborate with traders, portfolio managers, and technology teams to integrate data science solutions into production.
• Identify new data sources and analytical approaches to solve challenging business problems.
• Communicate complex analytical findings and insights clearly to both technical and non-technical audiences.
• Oversee data quality initiatives and ensure the integrity of analytical outputs.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the strategic direction of the data science function within the organization.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 7 years of experience as a Data Scientist, with a significant focus on financial markets and quantitative finance.
• Proven track record of leading data science projects and teams.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, Azure, GCP).
• Deep understanding of statistical modeling, machine learning algorithms, and experimental design.
• Familiarity with financial instruments, market microstructure, and risk management principles.
• Excellent problem-solving, critical thinking, and communication skills.
• Demonstrated ability to work effectively and autonomously in a remote environment.
• Passion for leveraging data to solve complex financial challenges.

Benefits

This is a 100% remote position, offering ultimate flexibility and work-life balance. Our client offers an exceptional compensation package, including a highly competitive base salary, significant performance-based bonuses, and a comprehensive benefits program covering health, retirement, and more. You will have access to state-of-the-art tools and resources, opportunities for professional growth through conferences and training, and the chance to work with a world-class team. Embrace a dynamic career in data science within a leading financial services organization, regardless of your location.