Data Scientist I

Bank of America

Jersey City (NJ)

On-site

USD 120,000 - 160,000

Full time

11 hours ago

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Job summary

Bank of America is seeking a Data Scientist to analyze large datasets, uncover revenue opportunities, and develop risk management strategies. The role collaborates with stakeholders to translate business problems into analytical solutions and presents findings clearly.

You will build dashboards, support credit risk scorecards, and perform portfolio analytics while maintaining data quality and governance. The position emphasizes collaboration, resilience, and growth within an in-office culture

Qualifications

Master's degree or higher in a quantitative field.
2+ years of experience developing Tableau dashboards and data visualizations.
Proficiency in Python, SQL, SAS, R, MATLAB, and related tools.

Responsibilities

Performs data analytics: data analysis, trend identification, pattern recognition using advanced techniques to support decision-making.
Applies Agile practices for project management, solution development, deployment, and maintenance.
Creates and maintains technical documentation of requirements and specifications for analytics solutions.
Manages multiple priorities while delivering quantitative models, dashboards, and data visualizations with quality and timeliness.
Delivers presentations and communicates complex analyses to stakeholders to foster collaboration.
Mitigates risk by identifying issues and implementing controls.
Researches advances in data science and AI to support analytics initiatives.
Develop analytical solutions for credit risk, fraud analytics, customer segmentation, and portfolio management.
Extracts, transforms, and analyzes large datasets; builds dashboards and automated workflows.
Supports credit risk scorecard development, monitoring, and stress testing.
Performs data quality validation and process improvements.
Conducts portfolio analytics and loss forecasting.
Extends company data with third-party sources.

Skills

Adaptability

Attention to Detail

Data Visualization

Communication

Collaboration

Presentation Skills

Risk Management

Agile Practices

Problem Solving

Education

Master's degree or higher in Computer Science / Data Science / Statistics / Mathematics / Finance

Tools

Python

SQL

SAS

MATLAB

NoSQL databases

Tableau

Distributed computing

Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

Responsibilities:

Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
Applies agile practices for project management, solution development, deployment, and maintenance
Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
Mitigates risk by identifying potential issues and developing controls
Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

As a Data Scientist on the team, key Responsibilities will involve:

Develop analytical solutions supporting credit risk, fraud analytics, customer segmentation, and portfolio management.
Extract, transform, and analyze large datasets from enterprise data platforms.
Build dashboards, reports, and automated analytical workflow / solutions
Support credit risk scorecard development, monitoring, performance tracking, and stress testing.
Perform data quality validation, reconciliation, and process improvement initiatives.
Conduct portfolio analytics, segmentation, trend analysis, and loss forecasting
Extends company’s data with third party sources of information when needed

Requirements:

Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Finance, or a related quantitative discipline.
Strong STEM background - Knowledge of Machine Learning, NLP, Deep Learning, Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization
Minimum 2 years of experience developing tableau data visualization, reports and dashboards.
Proficiency in languages such as Python (scikit learn, pandas, numpy etc.), SQL, SAS, R & MATLAB, C/C++
Prior experience with SQL and NoSQL databases, distributed computing
Applied statistics skills, such as distributions, statistical testing, regression, etc.
Strong business analysis and documentation skills, including requirements, process flows, and data lineage
Ability to manage multiple and competing priorities
Excellent written and verbal communication skills

Skills: