ZipRecruiter

Log In

1

Quantitative Risk Analyst Intern Jobs in North Carolina

CFA Institute

Director, Market Risk Audit

Charlotte, NC · On-site

$120 - $160/hr

Experience with trading businesses, risk analytics, or quantitative risk management preferred. * Bachelor's or advanced degree (Master's/Ph.D.) in Finance, Economics, Mathematics, or other ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes. * Develop quantitative models to assess investment manager factor exposures and identify drivers ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes. * Develop quantitative models to assess investment manager factor exposures and identify drivers ...

previous pagenext page

Showing results 21-40

All JobsQuantitative Risk Analyst Intern JobsQuantitative Risk Analyst Intern Jobs in North Carolina

Quantitative Risk Analyst Intern information

What are the key skills and qualifications needed to thrive as a quantitative risk analyst intern, and why are they important?

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What does a quantitative risk analyst intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What is the difference between Quantitative Risk Analyst Intern vs Quantitative Risk Analyst?

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What types of projects and responsibilities can a quantitative risk analyst intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.

What are the most commonly searched types of Quantitative Risk Analyst jobs in North Carolina?

The most popular types of Quantitative Risk Analyst jobs in North Carolina are:

What are popular job titles related to Quantitative Risk Analyst Intern jobs in North Carolina?

For Quantitative Risk Analyst Intern jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Analyst Intern jobs in North Carolina look for?

The top searched job categories for Quantitative Risk Analyst Intern jobs in North Carolina are:

What cities in North Carolina are hiring for Quantitative Risk Analyst Intern jobs?

Cities in North Carolina with the most Quantitative Risk Analyst Intern job openings:

Quantitative Risk Analyst Intern jobs near you
Infographic showing various Quantitative Risk Analyst Intern job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Quantitative Finance Analyst

Bank of America

Charlotte, NC • On-site

Full-time

PTO

Re-posted 20 days ago

Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

51st of 171 rated banks

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 conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.
Responsibilities:
  • Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
  • Supports the planning related to setting quantitative work priorities in line with the bank's overall strategy and prioritization
  • Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
  • Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
  • Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
  • Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
  • Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.
In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a strong data management, data architecture and data platforms foundation.
Job Description:
Under the GRM DSM Executive's leadership, the Quantitative Finance Analyst will help design features to simplify and optimize the data environment through data centric AI, and be accountable for contributing to the architecture & prototyping along with core alogrithms for various data and AI powered solutions. Additionally, the analyst will also help evaluate data & AI tools and conduct proof of concepts & pilot projects to arrive at recommended solutions and develop remediation plans to implement those solutions.
Responsibilities:
  • Demonstrates knowledge of data & AI solutions, data platforms, context engineering, agentic AI workflows, data management & model governance practices and standards.
  • Define target-state architectures and design artifacts (data models, API specifications, integration patterns) for data platforms, reporting systems and governance workflows across risk domains.
  • Prototype UI/UX execution for data centric AI solutions by specifying user interfaces, approval flows, and response formats, guiding Figma design and Angular for stakeholder validation.
  • Design forward-deployed AI solutions (FDE model) by working closely with business stakeholders to rapidly prototype, customize, and productionize GenAI/LLM use cases (e.g., RAG, agentic workflows, risk analytics copilots).
  • Assist quantitative modelers by building data pipelines, API services for protyping data & AI products using python, Spark, SQL, Relational, NoSQL and Graph data stores.Assist with prompt engineering, AI skills design and maintainance.
  • Operationalize governance by solutioning Semantic Data Intelliegnce agents for data contracts, lineage traceability, quality controls and monitoring; measure maturity and drive remediation programs for GRM information capabilities.
  • Evangelize and design new data & AI solutions and capabilities to support risk lines of businesses.
  • Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture.
  • Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical)
  • Champion innovation and adoption of modern paradigms-data products, knowledge/property graphs, LLM-based RAG systems, agentic AI and GenAI-assisted stewardship-to improve discoverability, impact analysis and time-to-insight across the risk ecosystem.

Required Skills:
  • Bachelor's degree in computer science / engineering, Data Science or Analytics and 4+ years of experience in data & AI platform/solutions and data management; or if Master's degree, 2+ years' experience.
  • Strong experience working with risk reporting systems, data warehouses, reporting tools, and governance frameworks.
  • Familiarity with data quality frameworks, metadata management, data lineage tools, and control monitoring.
  • Working knowledge of AI and GenAI patterns, lang graph, lang chain, embedding, chunking, RAG, vector stores as well as graphical context processing.
  • Proven track record of defining and delivering product roadmaps for complex data management or reporting platforms.
  • Strong stakeholder management and cross-functional leadership skills.
  • Proficiency in Agile delivery methodologies (e.g. Scrum, SAFe).
  • Excellent communication skills (written, verbal and presentation) with the ability to translate regulatory language into actionable technical requirements.
  • Strong experience driving the design and development of data & AI solutions, data management & governance products as well as data and reporting platforms.
  • Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines.
  • Ability to drive data strategy and deep understanding of industry paradigms such as data mesh, data contracts, integration fabric etc.
  • Experience with relational and NoSQL data stores and big data environments.
  • Hands-on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL.
  • Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.
  • Experience with data modeling for complex data pipelines, data lake and data platforms.
  • Strong experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
  • Exceptional communication skills and the ability to communicate effectively at all levels of the organization; this includes written and verbal communications as well as visualizations.

Desired Skills:
  • Working knowledge of data storage layers / formats such as Apache Iceberg, Hudi, Delta Lake etc. as well as Parquet, JSON and Avro.
  • Experience with Graph processing and storage technologies such as Knowledge Graphs / Property Graphs with working knowledge of at-least one graph store such as TigerGraph (preferred).
  • Exposure to Linked Data / Open Data, and GenAI based data solutions is a plus.

Skills:
  • Critical Thinking
  • Quantitative Development
  • Risk Analytics
  • Risk Modeling
  • Technical Documentation
  • Adaptability
  • Collaboration
  • Problem Solving
  • Risk Management
  • Test Engineering
  • Data Modeling
  • Data and Trend Analysis
  • Process Performance Measurement
  • Research
  • Written Communications

Shift:
1st shift (United States of America)
Hours Per Week:
40
Pay Transparency details
US - NJ - Jersey City - 525 Washington Blvd (NJ2525)
Pay and benefits information
Pay range
$89,800.00 - $155,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

What Bank Of America employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Bank Of America logo

About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1998

Social media

FacebookTwitter

View All Bank Of America Jobs

Apply