Quantitative Data Analytics Summer Analyst Program - 2027

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate. We need to parse the posting. Key info: - Overview: Quantitative Data Summer Analytics Program is a 10-week Summer internship and precursor for the Global Quantitative Data Analytics Program designed to develop and coach quantitative and analytical talent. As an intern, you will complete on-the-desk work with your assigned team and apply quantitative and analytical methods to specific financial challenges. Throughout the internship, you will engage in challenging projects and opportunities to advance your career and development in addition to engaging in learning and professional development opportunities, networking and volunteer events, mentorship, speaker series, and more. The Quantitative Data Analyst Program extends across five lines of business. In your role, you will support the specific business you are hired into. The businesses include: Global Risk Management, Chief Financial Officer Group, Enterprise Credit, Consumer & Small Business Banking, Analytics, Modeling & Insights. You must choose one of these line of businesses and then will be considered for this specific track. - What You’ll Do – Explore Potential Roles: profiles: Quantitative Analyst: Apply mathematical and statistical models to understand and solve financial and risk management problems; skills include but are not limited to financial and mathematical modeling, specifically proficiencies in programming languages including Python, C++, R, MATLAB and/or JAVA. Data Analyst: Broad responsibilities for collecting, cleaning, analyzing data, and extracting insights without necessarily specializing in complex model development; skills include but are not limited to data structures, data integration and data cleaning, specifically proficiencies in data visualization tools including Tableau, Hadoop and/or PowerBI and programming languages including Python, R, SQL and/or Java. Intern assignments are developed based on business need and aligned to skillset and therefore cannot be guaranteed. - Location: This role has headcount in Atlanta, Charlotte, Chicago, and NYC Metro. Based on the line of business that you are applying to please rank your top 3 locations of interest where you would accept an offer. - A Day in the Life: As a Summer Analyst, you will be placed on one team where your primary responsibilities may include but are not limited to: Extracting, processing, and interpreting data to support decision-making, including the potential for complex modeling; Conducting research and analysis, including assessing internal and public data, to provide a micro view of risk and/or financial management in a particular business line and a macro view for the organization; Applying quantitative and analytical knowledge to specific financial challenges and projects specific to your business alignment. - Lines Of Business Descriptions: each described. - Qualifications: Degree Type: Bachelor’s or Bachelor’s direct to Master’s degree from an accredited college or university; Graduation Dates: between November 2027 and August 2028; Major/Course of Study: Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or other similar course of study; GPA: 3.5 minimum GPA preferred; Candidates must have advanced programming language and analytical tool skills, including but not limited to Python, SQL, R, C++, MATLAB and/or Java; Candidates interested in the Data Analyst profile should possess proficiencies in data visualization tools, including but not limited to Tableau, Hadoop and/or PowerBI; Internship and full-time recruiting occurs on a rolling basis once our applications are open. Assessments often begin before the deadline, so it’s best to submit your application early as this will give you the best chance of being considered for the role. Bank of America does not complete third party forms from colleges, universities, or other parties. Travel: On needs basis; Full / Part-time: Fulltime; Hours Per Week: 40.00; Shift: 1st shift. We need to produce sections: About the role (overview), Responsibilities (What You’ll Do, A Day in the Life, maybe lines of business?), Requirements (maybe location?), Qualifications (degree, GPA, graduation date, major), Skills (programming languages, data visualization tools), Benefits (maybe learning and professional development opportunities, networking, volunteer events, mentorship, speaker series), Pay (not mentioned), Schedule (Fulltime, 40 hrs/week, 1st shift, Travel on needs basis). Since Pay not mentioned, we should not include Pay section. Benefits: we have learning and professional development opportunities, networking and volunteer events, mentorship, speaker series. Also maybe "precursor for the Global Quantitative Data Analytics Program". That's a benefit? Could be considered. We'll include Benefits section with those. Schedule: we have Full / Part-time: Fulltime; Hours Per Week: 40.00; Shift: 1st shift; Travel: On needs basis. So we can include Schedule section. Requirements: maybe location (Atlanta, Charlotte, Chicago, NYC Metro) and line of business selection? Could be considered requirements. Also maybe graduation date range. But Qualifications already covers graduation date, GPA, degree, major. Requirements could be location and line of business selection. We'll include Requirements with location and line of business selection. Skills: programming languages and tools. About the role: overview paragraph. Responsibilities: combine What You’ll Do (Quantitative Analyst and Data Analyst profiles) and A Day in the Life bullet points. Also maybe lines of business descriptions? But those are more about the business lines, not responsibilities. We'll keep responsibilities as the tasks. We must not repeat job title. Use

for each section heading. We must use

• for any list of duties/requirements/benefits, and

  for prose. We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all details from the posting, but we can format them. We must not include boilerplate like EEO etc. Already removed. We must not create sections with filler like "commensurate with experience". Not present. We must not include Pay section because no pay info. We must not include Schedule if not specific? We have schedule info: Fulltime, 40 hrs/week, 1st shift, Travel on needs basis. That's specific, so include Schedule. Now produce HTML. Structure:

  About the role

  ... overview ...

  Responsibilities

  • Quantitative Analyst: Apply mathematical and statistical models to understand and solve financial and risk management problems; skills include but are not limited to financial and mathematical modeling, specifically proficiencies in programming languages including Python, C++, R, MATLAB and/or JAVA
  • Data Analyst: Broad responsibilities for collecting, cleaning, analyzing data, and extracting insights without necessarily specializing in complex model development; skills include but are not limited to data structures, data integration and data cleaning, specifically proficiencies in data visualization tools including Tableau, Hadoop and/or PowerBI and programming languages including Python, R, SQL and/or Java
  • Extracting, processing, and interpreting data to support decision-making, including the potential for complex modeling
  • Conducting research and analysis, including assessing internal and public data, to provide a micro view of risk and/or financial management in a particular business line and a macro view for the organization
  • Applying quantitative and analytical knowledge to specific financial challenges and projects specific to your business alignment
  But note: The first two items already include skills; maybe we should separate skills section. However responsibilities should be duties, not skills. The posting lumps skills with responsibilities. We could keep them as responsibilities but maybe better to put skills in Skills section. The instruction: Use
  • for any list of duties/requirements/benefits. So we can list duties under Responsibilities, and skills under Skills. So we need to extract duties: from What You’ll Do and A Day in the Life. The skill statements are part of the profiles but could be considered skills. We'll treat them as skills. Thus Responsibilities list: - Extracting, processing, and interpreting data to support decision-making, including the potential for complex modeling - Conducting research and analysis, including assessing internal and public data, to provide a micro view of risk and/or financial management in a particular business line and a macro view for the organization - Applying quantitative and analytical knowledge to specific financial challenges and projects specific to your business alignment Also maybe "complete on-the-desk work with your assigned team and apply quantitative and analytical methods to specific financial challenges." That's from overview. Could be a responsibility. We'll include. Also "engage in challenging projects and opportunities to advance your career and development in addition to engaging in learning and professional development opportunities, networking and volunteer events, mentorship, speaker series, and more." That's more like benefits/development. We'll put in Benefits. Now Requirements: location and line of business selection. List: - Headcount locations: Atlanta, Charlotte, Chicago, NYC Metro - Must select one of the five lines of business: Global Risk Management, Chief Financial Officer Group, Enterprise Credit, Consumer & Small Business Banking, Analytics, Modeling & Insights - Rank top 3 locations of interest where you would accept an offer (based on line of business) We'll include as list. Qualifications: list: - Bachelor’s or Bachelor’s direct to Master’s degree from an accredited college or university - Graduation dates between November 2027 and August 2028 - Major/Course of Study: Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or other similar course of study - Minimum GPA 3.5 preferred - Advanced programming language and analytical tool skills: Python, SQL, R, C++, MATLAB and/or Java - For Data Analyst profile: proficiencies in data visualization tools: Tableau, Hadoop and/or PowerBI Skills: list programming languages and tools (maybe combine with qualifications? But qualifications already includes skills. However we need a Skills section per instruction; we can list the specific technical skills. We could list: - Programming languages: Python, C++, R, MATLAB, JAVA, SQL, Java - Data visualization tools: Tableau, Hadoop, PowerBI - Analytical tools: (maybe mention) But we must not duplicate content? It's okay to repeat? The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. It doesn't forbid repetition, but better to avoid duplication. However we already listed programming languages in Qualifications. We could still list them in Skills but that would be repeating. Might be okay but maybe better to separate: Qualifications includes education, GPA, graduation date, major; Skills includes programming languages, tools. We'll keep Qualifications focusing on education and GPA, and Skills focusing on technical skills. Thus Qualifications list: - Bachelor’s or Bachelor’s direct to Master’s degree from an accredited college or university - Graduation dates between November 2027 and August 2028 - Major/Course of Study: Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or other similar course of study - Minimum GPA 3.5 preferred Skills list: - Programming languages: Python, C++, R, MATLAB, JAVA, SQL, Java - Data visualization tools: Tableau, Hadoop, PowerBI - Analytical tools: (maybe not needed) but we can include "advanced programming language and analytical tool skills" as already covered. But we need to ensure we include the statement "Candidates must have advanced programming language and analytical tool skills, including but not limited to Python, SQL, R, C++, MATLAB and/or Java" and "Candidates interested in the Data Analyst profile should possess proficiencies in data visualization tools, including but not limited to Tableau, Hadoop and/or PowerBI". So we can list those. Benefits list: - Learning and professional development opportunities - Networking and volunteer events - Mentorship - Speaker series - Precursor for the Global Quantitative Data Analytics Program (maybe) - Engage in challenging projects and opportunities to advance career and development Schedule list: - Full-time - 40 hours per week - 1st shift - Travel on an as-needed