at J.P. Morgan
Bulge Bracket Investment BanksPosted 2 months ago
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Join a dynamic team at a leading financial services firm to design, develop, and productionize AI/ML solutions that address business problems. The role involves data wrangling, analysis, modeling, and advising stakeholders on model choices and challenger approaches. You will collaborate across teams, contribute to R&D, document models, and help coach junior team members. Strong emphasis on NLP, Python-based development, and working with big data tools like Spark, Hive, and SQL.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Applied AI/ML Associate within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem. Your responsibilities will include data wrangling, data analysis, and modeling. You will advise on optimal solutions and provide insights on challenger models. You will be involved in strategic projects across the firm, making a significant impact at a leading financial services firm. Your role will be pivotal in developing data-centric solutions that enhance the firm's bottom line.
Job responsibilities
- Engages with stakeholders and understanding business requirements
- Develops AI/ML solutions to address impactful business needs
- Works with other team members to productionize end-to-end AI/ML solutions
- Engages in research and development of innovative relevant solutions
- Documents developed AI/ML models to stakeholders
- Coaches other AI/ML team members towards both personal and professional success
- Collaborating with other teams across the firm to attain the mission and vision of the team and the firm
Required qualifications, capabilities, and skills
- Formal training or certification on data science concepts and 2+ years applied experience
- Experience in the application of AI/ML to a relevant field
- Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
- Strong experience in natural language processing (NLP) and its applications
- Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
- Previous experience in working on Spark, Hive, and SQL
Preferred qualifications, capabilities, and skills
- Financial service background
