Data Scientist - 2055070

Company: Fidelity Investments
Location: Boston, MA
Posted on: May 27, 2022

Job Description:

Creates predictive models to improve revenue for fixed income businesses. Streamlines processes and tests new ideas by building tools, prototypes, and simulation engines. Analyzes and manipulates large data sets, using Python, PyTorch, Kafka, and KDB/Q. Builds models to assess fair prices of fixed income instruments, balance risk, and predict client demands. Presents the results of mathematical modeling and data analysis to management or end users. Formulates mathematical and simulation models of problems -- relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.

Primary Responsibilities:

Improves client trading strategies.

Educates clients on market structures and trading tools.

Consults with clients to problem solve outstanding issues.

Utilizes data science, machine learning, and analytical concepts to build narratives.

Crafts predictive models to improve revenues for fixed income business clients.

Performs validation and testing of models to ensure adequacy and reformulate models as necessary.

Analyzes information obtained from management to conceptualize and define operational problems.

Defines data requirements, gathers and validates information, and applies judgment and statistical tests.

Designs, conducts, and evaluates experimental operational models in cases where models cannot be developed from existing data.

Troubleshoots issues with computer applications or systems.

Analyzes data to identify trends or relationships among variables.

Evaluates data quality.

Documents operational activities.

Determines appropriate methods for data analysis.

Directs deployment of machine learning models through the production cycle.

Education and Experience:

Masters degree (or foreign education equivalent) in Statistics, Economics, Computational Finance, Engineering, Computer Science, Applied Mathematics, Mathematics, or a closely related field and four (4) years of experience in the job offered or four (4) years of experience performing data mining using non-parametric statistical techniques.

Or, alternatively, a Doctorate of Philosophy (PhD) in Statistics, Economics, Computational Finance, Engineering, Computer Science, Applied Mathematics, Mathematics or a closely related field and one (1) year of experience in the job offered or one (1) year of experience performing data mining using non-parametric statistical techniques.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (DE) performing advanced statistical analytics to develop, analyze, and evaluate supervised and unsupervised machine learning algorithms -- Regression, Decision Trees/Random Forest, Neural Networks, Feature Selection/Reduction, Clustering, Hyper-Parameter tuning, mixture modeling using Python, R, Tensorflow, and Pytorch with specific use cases on recommender systems within financial investment domain.

DE performing data resample and clustering analysis using non-parametric statistical techniques -- bootstrapping and hierarchical clustering methods; and performing linear modelling -- logistic regression and gamma regression, generalized additive models, and mixture modeling -- using advanced statistical applications including, R, Python, Matlab, and ArcGIS.

DE developing non-parametric statistical time series analysis, multiscale statistical signal processing, and probabilistic graphical modeling of financial data, using R and CVX (an extension of Matlab software for convex programming).

DE performing data process design, data randomization, model performance evaluation, and optimization, using Matlab, Python, and R.

For full job details and to apply, please visit https://jobs.fidelity.com and search for job number: 2055070.

Keywords: Fidelity Investments, Boston , Data Scientist - 2055070, Finance , Boston, MA, Massachusetts