Wholesale Payments - Business Data Scientist
Company: JPMorgan Chase & Co.
Posted on: May 3, 2021
About the Team
The Wholesale Payments Field Intelligence team is responsible
for delivering comprehensive insights to our sales and product
teams by creating applications and data products that leverage the
significant assets of the firm. Our programs focus on
commercializing end-user tools and data algorithms to uncover new
prospects, deliver product and prospect recommendations, improve
relationship management and quantify the value of our solutions to
both Prospects and Clients.
About the Position
The Field Intelligence team is seeking a highly proficient Data
Scientist to help create sustainable data products to be broadly
leveraged by the JP Morgan Wholesale banking and sales teams. The
successful candidate will be comfortable translating complex
business requirements into Machine Learning solutions, leading the
Data Exploration process leveraging advanced statistical methods
and developing insightful visualizations for data-storytelling. The
Commercial and Wholesale Banks have invested in a multi-year
journey to aggregate reference data, product data and third-party
data into a centralized and scalable environment. You will partner
with our AI/ML, Data Engineering and Product teams to create
sustainable data products focused on actionable product algorithms
and alerts to support the front line.
Principal Duties & Responsibilities:
- Extract and sample data, conduct data integrity checks and
applicable data pre-processing such as treatment of missing values
- Conduct exploratory data analysis for preliminary data insights
to drive the selection of modeling approach that best addresses the
- Lead the feature engineering process to create/derive model
predictors with strong predictive power, trains/tunes
classification/regression models by applying supervised learning
techniques such as generalized linear models, tree-based models,
and neural net models.
- Interface with business leads, transformation program teams and
functional stakeholders throughout the organization to prioritize
data use cases and their application to improve business
- Synthesize, evaluate and address business needs vis--vis
existing data solutions in production.
- Identify, prioritize and frame/scope data use cases. Manage
requirements with high tolerance for ambiguity, strong
problem-solving abilities, and excellent client engagement
- Story-tell and deliver data insights, business value and
recommendations to senior stakeholders.
Skills and Experience:
- Quantitative background - Advanced Degree in analytical field
(e.g. finance, statistics, engineering, mathematics, computer
science). 5+ year's relevant experience. Expertise in data mining,
quantitative research techniques, theories, principles, and
practices. Understanding of statistics, optimization and machine
- Deep experience across the full range of database and business
intelligence tools especially SQL on Hadoop (Hive, Impala, Spark),
Python/R and ability for rapid prototyping in Tableau; publishing
and presenting information in an engaging way. Understanding of
algorithms and software engineering fundamentals.
- Analytical thought leader - Define the analytical agenda for
projects, frame ambiguous business questions into analytical plans
(e.g., assess data needs, source files, prepare data, create new
features, evaluate quality, etc.), and execute.
- Cognitive and Communications Skill - Highly articulate, built
upon an underlying fundamental clarity of thought. General ability
to root out fundamental issues, bring order from chaos, synthesize
elegant insights, and drive to clear decisions.
- Leadership - Primary focus of building something of
significance. Willingness to roll up sleeves and do whatever it
takes. Self-confidence, poise, and personal presence that inspires
confidence in others. Charisma, gravitas, intellect, flexibility,
and integrity that motivates others to trust, collaborate, and
Keywords: JPMorgan Chase & Co., Plano , Wholesale Payments - Business Data Scientist, Other , Plano, Texas
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