Director, Data Science

Fidelity-posted 4 days ago

Full-time • Director

Hybrid • Jersey City, NJ

5,001-10,000 employees

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

Position Description : Applies data science and advanced analytics to support customer needs, improves customer experience, develops new products, and supports markets, sales, and technologies for Workplace Solution products. Carries out various aspects of data science projects independently, including data cleansing, preparation, and annotation, feature engineering, exploratory data analysis, model evaluation and selection, and Machine Learning (ML) pipeline design and development. Researches and tests new tools and technologies for builds , tests, and monitoring Artificial Intelligence (AI) models. Generates new insights and seizes opportunities by staying abreast of publications, tools, and techniques from the global AI/ML community .

Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
Gathers internal and external data (structured or unstructured) from multiple sources using programming languages.
Implements best practices for model development, iteration, and code management.
Conducts code reviews.
Draws key business insights from advanced quantitative analyses and presents findings to broader audience and senior management.
Oversees junior team members and provides support in learning data sources, tools, and technologies.
Develops and implements a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
Applies data mining, data modeling, natural language processing, and machine learning for extracting and analyzing information from large structured and unstructured datasets.
Visualizes, interprets and reports data findings .

Bachelor’s degree in Analytics, Computer Science, Data Science, Operations Research, Economics, Finance, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) performing data analytics, building statistical models, and developing business intelligence applications in a financial services environment.
Or, alternatively, Master’s degree in Analytics, Computer Science, Data Science, Operations Research, Economics, Finance, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) performing data analytics, building statistical models, and developing business intelligence applications in a financial services environment.
Demonstrated Expertise (“DE”) conducting research and development for multi-asset portfolio construction and risk management; designing and implementing macro-economic and business cycle simulation models (Markov Chain and Hidden Markov Models (HMM)) in Python; and performing scenario analysis, stress testing, and drafting risk reports .
DE developing supervised, and unsupervised ML and Deep Learning (DL) models for financial assets (Fixed Income, equities, mutual funds, Exchanged Traded Funds (ETFs), liquid and illiquid alternatives, and derivatives), in Pytorch or Tensorflow ; and applying convex optimization, mixed integer linear programming, and dynamic programming for multi-asset portfolio optimization, using commercial solvers ( Gurobi ) .
DE conducting research and development for asset return data imputation and simulation models and developing ML algorithms for asset return data simulation including isolation forest, variational autoencoder, multivariate Gaussian, and ensemble methods) in Python; and managing databases (Snowflake and Aerospike), and end-to-end data science and ML projects (parallel-computing and complex factor-model infrastructure) in Amazon Web Services (AWS) .
DE developing data science models using Linux and Cloud environments ( PySpark , SageMaker, and EMR); developing data collection, cleansing, and compilation procedures from Bloomberg, Haver, Morningstar, Burgiss, and Sherlock; and designing internal Application Programming Interfaces (APIs) -- Postman or Insomnia – and User Interface (UI) -- Streamlit for user engagement .

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

Director of Data Science Resume Examples

•

Director of Data Science Cover Letter Examples

Director, Data Science

Job Search Resources

Tools

Career Hubs

Guides

Company