Title: Senior Data Scientist with Banking Domain
Location: Boston, MA (Onsite)
Duration: 6 months contract
Job Description
- We are seeking an experienced and highly skilled Data Scientist to lead the development and implementation of advanced data modeling and predictive analytics to support investment strategies.
- The ideal candidate should have extensive experience in data science designing and deploying statistical modelling with at least 6 years of hands-on experience in Financial/Investment / Asset Management / Fixed Income.
Job Responsibilities
- Utilize data analytics and advanced statistical techniques to inform investment decision-making and drive business growth.
- Collaborate with cross-functional teams to identify opportunities for leveraging data to enhance investment strategies.
- Develop and maintain a robust data infrastructure to support data-driven decision-making.
- Stay updated on industry trends and best practices in data science and investments, and implement new techniques and tools as needed.
- Lead the development and implementation of advanced data modeling and predictive analytics to support investment strategies.
- Provide strategic guidance and recommendations to senior leadership on investment opportunities and risks based on data analysis.
- Oversee the creation and maintenance of data dashboards and reports to track investment performance and identify areas for improvement.
- Collaborate with other departments to ensure alignment and integration of data-driven strategies across the organization.
Mandatory Skills
- Primary Skills : Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets, Investment Banking.
- Secondary Skills : Has experience in Gen AI , Language Model etc.
Required Education
- Bachelor s degree in computer science or a related field.
- Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study)
- Proficiency in the mathematics underlying Machine Learning
- Ability to present complex technical information in a clear and concise manner to a variety of audiences.
Required Experience
- Minimum 14+ years of experience in data science designing and deploying statistical modelling with at least 6 years of hands-on experience in Financial/Investment / Asset Management / Fixed Income.
- Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets and/or Investment Banking.
- Has experience in Gen AI , Language Model etc.
- Worked for asset management firms in roles aligned to the front office.
- Has advanced knowledge of python and/or R
- Asset Allocation, Research, quat engineering
- Broad experience with hands-on modelling and DS lifecycle activities, particularly in Python, and ability to communicate at a high level with DS and non-technical leaders
- Knowledge of graphical packages such as plotly or gg plot
- Excellent understanding of Statistical modeling, Machine Learning (Supervised, Unsupervised, Recommendation engines, Optimization etc.) Deep Learning (RNN, CNN, LSTM, Auto encoders, GANS etc.), Natural Language Processing techniques and algorithms
- Strong coding experience in Python, Pyspark, Keras/tensorflow
- Experience with SQL & at least one NoSQL databases
- Experience of working on any of cloud platform (AWS, Azure, IBM etc.)
- Work closely with data engineers to source, analyze and engineer features, collaborate with fellow data scientists to develop, test and deploy Machine Learning models
- Exposure to creation of data pipelines to engineer apps deployment (CI/CD) across platforms and environments and working with ML pipelines
- Demonstrate analytical and problem-solving skills, particularly those that apply to the big data environment