Data Scientist
Data Scientist
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Job Description
Title: Data Scientist (Subject Matter Expert) 2935
Customer : Liberty Mutual
Location: Boston MA starting with 2 daysworking from Office and likely to get extended for all 5 days.
Job Type: Contract
Duration : 6 months subject toextension.
Localcandidates only.
Please look for 14 years experience on Data Science.
MandatoryRequirements :
- Financial Time Series is a must and should have extensively worked in it
- Knowledge of linear / Nonlinear / Distributed financial data
- Knowledge of Transformer model outside of language models
- Deep understanding of markets & GDP and Economic releases and its impact on the financial markets
- On the run / Off the run Bonds & Fixed Income knowledge
- Deep knowledge of building models for the business financial teams to make their business decision
Minimum57 years of handson Financial/Investment /Asset Management / Fixed Income experience
Avoid submittingData Analysts and worked in a project in Finance Domain. This is a Senior Roleand hence people would have strong Data Science experience with Invest Domain.
Job Description
Role:
Data Scientist
Employment Type:
Contract
Work location:
BostonLocation in USA Currently 2 days from site and likely to get extended for all days.
Work mode:
Remote
About the Role
About the Role:
We are seeking an experienced and highly skilled Data Scientistto 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 handson experience in Financial/Investment / Asset Management / Fixed Income.
Job Responsibilities
Utilize data analytics and advanced statistical techniques to inform investment decisionmaking and drive business growth.
Collaborate with crossfunctional teams to identify opportunities for leveraging data to enhance investment strategies.
Develop and maintain a robust data infrastructure to support datadriven decisionmaking.
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 datadriven 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.
Mandatory Requirements :
- Financial Time Series is a must and should have extensively worked in it
- Knowledge of linear / Nonlinear / Distributed financial data
- Knowledge of Transformer model outside of language models
- Deep understanding of markets & GDP and Economic releases and its impact on the financial markets
- On the run / Off the run Bonds & Fixed Income knowledge
- Deep knowledge of building models for the business financial teams to make their business decision
Required Education
Bachelors 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 handson 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 handson modelling and DS lifecycle activities particularly in Python and ability to communicate at a high level with DS and nontechnical 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 problemsolving skills particularly those that apply to the big data environment
Travel Requirement
NA
Thanks and Best Regards
Devi Skanda
Everest ConsultingGroupInc.
3840 Park Ave Edison NJ08820
Direct: EXT 8600
Desk : Ext: 8600
Employment Type
Contract
