Fidelity Institutional s Investment and Technology Solutions group is seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate s key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of Fidelity s customers. Absolutely critical is the associate s ability to carry an initiative from idea through to execution.
The Expertise We re Looking For
5+ years experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience
Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred
Natural programmer, and confirmed industry experience with statistics and data modeling
Experience with one or more of the following tools/frameworks python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc
Education At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc.
Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation
The Purpose of Your Role
Fidelity is looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.