Director, Data Science - 2018223

Company: Fidelity Investments
Location: Durham, NC
Posted on: February 19, 2021

Job Description:

Develops and tunes the performance of large-scale computing algorithms, using Java/Scala, C/C++, Python and Assembly languages with parallel programming approaches -- MapReduce on Hadoop, in-memory computing on SPARK, multi-GPU Servers and Quantum Computing platforms. Implements complex algorithms into parallel computing frameworks. Provides business unit-wide solutions by developing complex, multi-faceted software applications. Develops and manages Machine Learning (ML) models in commercialized products. Performs model evaluation and computation performance tuning on production environments.

Primary Responsibilities:

Partners with local and off-shore teams in technology design, implementation, and delivery.

Deploys ML solutions in production on Cloud infrastructure.

Tunes and optimizes low-level languages for enhancing computing performance.

Applies existing quantum computing libraries and quantum circuit design.

Advances the research and development of AI/ML methods as components in the delivery of innovative investment management technology solutions.

Develops machine-learning software prototypes that demonstrate potential usefulness to customers.

Participates in machine learning brownbag sessions and other forms of collaborative learning to keep abreast of the constant changes in Machine and Deep Learning.

Develops applications that analyze data, using descriptive, exploratory, predictive, explanatory, and prescriptive methods via automation, using the latest machine learning, business intelligence, search, and intelligent data technologies.

Designs and implements portfolio risk and optimization techniques to deliver industry differentiated capabilities.

Researches and recommends new technologies in support of the strategic direction of the business unit.

Translates and incorporates business vision and objectives to architectural strategy recommendations at the functional level.

Identifies and consults with internal and external technical resources to produce cross-company strategic designs.

Consults on the development and delivery of major technology initiatives for the business unit and on the deployment of major project deliverables.

Consults on the documentation of major technology applications.

Oversees the technical implementation of cross-divisional or company architectural components.

Initiates and drives project or strategy discussions with users or external groups to resolve issues.

Plans and leads organization-wide initiatives.

Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.

Advises senior management on technical strategy.

Provides guidance, training, and coaching to other team members for performance and career development.

Designs, develops, and modifies complex and major software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.

Develops and directs software system testing and validation procedures, programming, and documentation.

Education and Experience:

Bachelors degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience in the job offered or five (5) years of experience designing, developing, and implementing predictive models using machine learning algorithms.

Or, alternatively, Masters degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and two (2) years of experience in the job offered or two (2) years of experience designing, developing, and implementing predictive models using machine learning algorithms.

Or, alternatively, PhD (or foreign equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and no experience.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (DE) developing, evaluating, and tuning risk prediction models using Amazon Web Services (AWS) to predict the health degree of an application during release-based on-time series data sources, using Recurrent Neural Network and Lasso.

DE designing the infrastructure of a Restful API, using Docker, Flask, and Python to deploy prediction models as products on AWS.

DE building optimization algorithms, using SciPy, PuLP, and CVXOPT to minimize portfolio returns while keeping tail-risk (extreme loss) under loss tolerance; and maximizing the coverage of investable assets and portfolios using high performant computing advancements.

DE constructing data pipelines, using Glue ETL, SQL, Spark, GPU Farms, and Quantum Computing to prepare features for machine learning models.

[Willing to accept Doctoral research in lieu of work experience]

For full job details and to apply, please visit https://jobs.fidelity.com/ and search for job number: 2018223.

Keywords: Fidelity Investments, Durham , Director, Data Science - 2018223, Finance , Durham, NC, North Carolina