Key responsibilities:
- Data Science: Own development of sophisticated data science and machine learning models, using large datasets to drive business decisions and data-driven strategies across the organization.
- Python Programming: Design, develop, and maintain Python-based software solutions that meet business needs, collaborating with team members to ensure seamless integration and optimization.
- Requirement Analysis: Work closely with cross-functional teams to validate requirements, analyze both qualitative and quantitative data, and contribute to the identification of short- and long-term solutions.
- Process Improvement: Contribute to process improvements, problem resolution workflows, and preventive measures, while actively participating in project planning and technical solution design.
- Project Transparency: Provide regular updates on project progress and challenges, ensuring transparency with leadership and adhering to disciplined development processes.
- Independent Work: Work autonomously with minimal guidance, demonstrating ownership of projects and accountability for your expertise and handling ambitious projects.
- Flexible Shift & On-Call Coverage: Available for a 12-9pm shift and on-call support as needed.
Skills & experience required:
- Strong Python Skills: Proficient in Python for software development, maintenance, and integration.
- Data Science Expertise: Extensive experience in machine learning, AI, and advanced analytics to design and implement data-driven solutions.
- Requirement Analysis: Strong ability to validate business requirements, ensuring alignment with technical solutions and providing realistic sizing.
- Communication: Excellent written and verbal communication, capable of explaining complex ideas to both technical and non-technical audiences.
- Financial Analysis: Experience with financial markets and quantitative finance.
- Collaboration: Proven ability to work in a multi-disciplinary team, with experience in mentoring junior developers.
- Quantitative Finance Knowledge: Good understanding of financial mathematics, including pricing financial instruments and modeling financial markets.
Desirable skills:
- Project Management: Experience managing project updates, particularly with Agile methodology.
- Refinitiv Tools: Familiarity with Refinitiv Eikon/Elektron/Workspace products.
- ESG Data Modeling: Experience in financial modeling, particularly with ESG (Environmental, Social, and Governance) data.
Application link: https://lseg.wd3.myworkdayjobs.com/Careers/job/IND-BLR-Divyasree-Technopolis/Junior-Data-Scientist_R0102117-1?source=Linkedin
