AVP, CIB COO Business Execution Consultant
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay. But we should only include sections when posting has real specific content. We have content for About the role, Responsibilities (the bullet list after "In this role, you will:"), Required Qualifications, Desired Qualifications (maybe combine as Qualifications or Requirements?), Skills (maybe from desired qualifications like AI tools, partnering, communication, etc.), Benefits, Pay. Also Schedule? Not present. So we omit Schedule.
We must not repeat job title as heading. No Job ID etc. Remove boilerplate: cookie/navigation/legal/EEO etc. Also remove "Learn more about the career areas..." maybe not needed? It's not substantive? It's a link; we can drop. Also remove "Job Expectations" maybe not a standard heading; but we could incorporate into Requirements? It includes travel, visa, onsite, FINRA etc. Those are job expectations; maybe we can put under Requirements or a separate section? The instruction says we can use headings like Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Job Expectations could be part of Requirements or Qualifications. Safer to include under Requirements (maybe as a subsection? but we only have - for lists). We could include those bullet points under Requirements as list items.
We must preserve ALL substantive information; do not invent or summarize away detail. So we need to keep all details from the posting, except boilerplate.
Let's extract substantive content:
- About this role: Wells Fargo is seeking to hire a Junior Quantitative Analyst / Data Scientist to join the Credit Trading COO team within Corporate and Investment Banking (CIB), focused on building the data, analytics and automation layer that supports the Trading line of business. This is a hands-on build role rather than a pure analysis role where you will design dashboards, automate manual workflows, and apply AI tools to real business problems in close partnership with Trading, Sales, Technology, Operations, Risk, and Finance partners.
- In this role, you will: (list)
* Participate in a variety of assigned and ongoing business operations to ensure success in meeting business goals and objectives
* Identify opportunities for process improvement by conducting root cause testing of all compliance and business metrics
* Determine areas of strength or Business Execution opportunity within defined scope of work
* Review and research strategies and action plans to establish effective processes while meeting performance metrics and policy expectations
* Design, build and maintain dashboards and data visualizations (Tableau or equivalent) that give desk and COO leadership a clear, timely view of business performance, operating metrics and risk
* Automate recurring manual workflows such as data pulls, reconciliations and reporting packs, using Python, R and SQL to reduce turnaround time and operational risk
* Apply AI tools practically to streamline how the desks and the COO function operate, prototyping and proving out use cases end-to-end rather than in theory
* Partner with Trading, Sales, Technology and the wider Credit COO team to translate business questions into structured, data-driven analysis, from ad hoc requests through to production reporting
* Support the buildout of consistent data and reporting standards across Credit Trading, including common P&L and performance attributes across desks
* Build and deliver clear, decision-useful analysis and materials for leadership, and hand off or scale solutions that prove out in partnership with Technology
- Required Qualifications:
* 2+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
* 2+ years of Analytics, Data Science, or Quantitative Research experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
* Hands-on experience with data visualization tools (Tableau, Power BI or similar).
* Strong data analytics skills utilizing statistical or programming languages (Python, R or equivalent), and SQL.
- Desired Qualifications:
* Practical experience using AI tools to solve real workflow problems; automation, generative AI or machine learning applied to a live business process rather than a research setting
* Experience working with large, complex datasets and turning them into reliable, repeatable reporting
* Prior experience automating or re-engineering a business process end-to-end, delivering across Technology, Operations, Risk or Compliance
* Credit markets or fixed income exposure (trading, desk strategy/analytics, portfolio trading support) with understanding of cash and derivative credit products
* Corporate & Investment banking experience
* Experience working with various AI platforms
* Strong partnering and collaboration skills
* Excellent verbal, written, and interpersonal communication skills with ability to articulate issues, risks, and proposed solutions to various levels of staff and management
* Bachelors Degree or higher in quantitative field such as: mathematics, statistics, computer science, engineering, economics or similar
- Job Expectations:
* Ability to travel up to 10%.
* Visa Sponsorship is not available.
* Willingness to work on-site in accordance with current office requirements.
* Ability to work outside of normal business hours as needed.
* This position is subject to FINRA background screening requirements.
* Candidates must successfully complete and pass a background check prior to hire.
* In accordance with FINRA rules, individuals who are subject to statutory disqualification are not eligible to be associated with a FINRA-registered broker-dealer.
* Successful candidates must also meet and comply with ongoing regulatory obligations, which include periodic screening and mandatory reporting of certain incidents.
* Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired.
* Information will be shared about expectations during the recruitment process.
- Posting Location: New York, NY: 30 Hudson Yards
- Salary Range: New York, NY: $92K - $145K USD Annual Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $92,000.00 - $145,000.00
- Benefits: list (Health benefits, 401(k) Plan, Paid time off, Disability benefits, Life insurance, critical illness insurance, and accident insurance, Parental leave, Critical caregiving leave, Discounts and savings, Commuter benefits, Tuition reimbursement, Scholarships for dependent children, Adoption reimbursement)
- Posting End Date: 30 Sep 2026 * Job posting may come down early due to volume of applicants. (This is metadata; maybe we can drop as minor metadata? It's not required to keep but we could include as a short p? The instruction: do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. So we could include a short p for posting end date? It's minor metadata; we could drop it. Safer to drop.
- Also "We Value Equal Opportunity" etc is boilerplate EEO; remove.
- Also "Applicants with Disabilities", "Drug and Alcohol Policy", "Wells Fargo Recruitment and Hiring Requirements:" etc are boilerplate; remove.
- Also "Reference Number R-578259" drop.
Thus we need sections: About the role, Responsibilities, Requirements (maybe combine Required Qualifications + Job Expectations?), Qualifications (maybe Desired Qualifications?), Skills (maybe from desired qualifications like partnering, communication, AI platforms?), Benefits, Pay.
But we must not create thin sections. Let's see what we have:
- About the role: substantive paragraph.
- Responsibilities: list of duties (the bullet list after "In this role, you will:").
- Required Qualifications: list.
- Desired Qualifications: list.
- Job Expectations: list (travel, visa, onsite, etc.) Could be part of Requirements.
- Benefits: list.
- Pay: salary range.
We could combine Required Qualifications and Job Expectations into a Requirements section (since both are requirements). Or we could have Requirements (for required qualifications) and Qualifications (for desired). The instruction gave examples: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can map:
- About the role: as above.
- Responsibilities: duties list.
- Requirements: Required Qualifications + Job Expectations (travel, visa, etc.) maybe also include education? Actually education is in Desired Qualifications (Bachelors). But we could keep education under Qualifications.
- Qualifications: Desired Qualifications (including experience, AI, etc.) plus maybe education.
- Skills: maybe we could extract specific skills like partnering, communication, AI platforms, etc. But many of those are already in Desired Qualifications. Could create Skills section for things like "Strong partnering and collaboration skills", "Excellent verbal, written, and interpersonal communication skills", "Experience working with various AI platforms". However that may be thin. Better to keep them under Qualifications.
Thus we could have sections: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay.
Check if we have content for each:
- About the role: yes.
- Responsibilities: yes (list).
- Requirements: we need to include Required Qualifications (2+ years Business Execution, 2+ years Analytics, Hands-on Tableau, Strong data analytics skills Python/R/SQL) plus Job Expectations (travel, visa, onsite, outside hours, FINRA background, etc.). That's substantive.
- Qualifications: Desired Qualifications list (AI tools, large datasets, automation end-to-end, credit markets, CIB experience, AI platforms, partnering, communication, Bachelors degree). That's substantive.
- Benefits: list.
- Pay: salary range.
We must not include Schedule.
Now format: Use
for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
Thus:
About the role
Wells Fargo is seeking to hire a Junior Quantitative Analyst / Data Scientist to join the Credit Trading COO team within Corporate and Investment Banking (CIB), focused on building the data, analytics and automation layer that supports the Trading line of business. This is a hands-on build role rather than a pure analysis role where you will design dashboards, automate manual workflows, and apply AI tools to real business problems in close partnership with Trading, Sales, Technology, Operations, Risk, and Finance partners.
Responsibilities
- Participate in a variety of assigned and ongoing business operations to ensure success in meeting business goals and objectives
- Identify opportunities for process improvement by conducting root cause testing of all compliance and business metrics
- Determine areas of strength or Business Execution opportunity within defined scope of work
- Review and research strategies and action plans to establish effective processes while meeting performance metrics and policy expectations
- Design, build and maintain dashboards and data visualizations (Tableau or equivalent) that give desk and COO leadership a clear, timely view of business performance, operating metrics and risk
- Automate recurring manual workflows such as data pulls, reconciliations and reporting packs, using Python, R and SQL to reduce turnaround time and operational risk
- Apply AI tools practically to streamline how the desks and the COO function operate
or drop it. So we could include a short p for posting end date? It's minor metadata; we could drop it. Safer to drop. - Also "We Value Equal Opportunity" etc is boilerplate EEO; remove. - Also "Applicants with Disabilities", "Drug and Alcohol Policy", "Wells Fargo Recruitment and Hiring Requirements:" etc are boilerplate; remove. - Also "Reference Number R-578259" drop. Thus we need sections: About the role, Responsibilities, Requirements (maybe combine Required Qualifications + Job Expectations?), Qualifications (maybe Desired Qualifications?), Skills (maybe from desired qualifications like partnering, communication, AI platforms?), Benefits, Pay. But we must not create thin sections. Let's see what we have: - About the role: substantive paragraph. - Responsibilities: list of duties (the bullet list after "In this role, you will:"). - Required Qualifications: list. - Desired Qualifications: list. - Job Expectations: list (travel, visa, onsite, etc.) Could be part of Requirements. - Benefits: list. - Pay: salary range. We could combine Required Qualifications and Job Expectations into a Requirements section (since both are requirements). Or we could have Requirements (for required qualifications) and Qualifications (for desired). The instruction gave examples: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can map: - About the role: as above. - Responsibilities: duties list. - Requirements: Required Qualifications + Job Expectations (travel, visa, etc.) maybe also include education? Actually education is in Desired Qualifications (Bachelors). But we could keep education under Qualifications. - Qualifications: Desired Qualifications (including experience, AI, etc.) plus maybe education. - Skills: maybe we could extract specific skills like partnering, communication, AI platforms, etc. But many of those are already in Desired Qualifications. Could create Skills section for things like "Strong partnering and collaboration skills", "Excellent verbal, written, and interpersonal communication skills", "Experience working with various AI platforms". However that may be thin. Better to keep them under Qualifications. Thus we could have sections: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay. Check if we have content for each: - About the role: yes. - Responsibilities: yes (list). - Requirements: we need to include Required Qualifications (2+ years Business Execution, 2+ years Analytics, Hands-on Tableau, Strong data analytics skills Python/R/SQL) plus Job Expectations (travel, visa, onsite, outside hours, FINRA background, etc.). That's substantive. - Qualifications: Desired Qualifications list (AI tools, large datasets, automation end-to-end, credit markets, CIB experience, AI platforms, partnering, communication, Bachelors degree). That's substantive. - Benefits: list. - Pay: salary range. We must not include Schedule. Now format: Use
for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
Thus:
About the role
Wells Fargo is seeking to hire a Junior Quantitative Analyst / Data Scientist to join the Credit Trading COO team within Corporate and Investment Banking (CIB), focused on building the data, analytics and automation layer that supports the Trading line of business. This is a hands-on build role rather than a pure analysis role where you will design dashboards, automate manual workflows, and apply AI tools to real business problems in close partnership with Trading, Sales, Technology, Operations, Risk, and Finance partners.
Responsibilities
- Participate in a variety of assigned and ongoing business operations to ensure success in meeting business goals and objectives
- Identify opportunities for process improvement by conducting root cause testing of all compliance and business metrics
- Determine areas of strength or Business Execution opportunity within defined scope of work
- Review and research strategies and action plans to establish effective processes while meeting performance metrics and policy expectations
- Design, build and maintain dashboards and data visualizations (Tableau or equivalent) that give desk and COO leadership a clear, timely view of business performance, operating metrics and risk
- Automate recurring manual workflows such as data pulls, reconciliations and reporting packs, using Python, R and SQL to reduce turnaround time and operational risk
- Apply AI tools practically to streamline how the desks and the COO function operate
for prose. Thus:
About the role
Wells Fargo is seeking to hire a Junior Quantitative Analyst / Data Scientist to join the Credit Trading COO team within Corporate and Investment Banking (CIB), focused on building the data, analytics and automation layer that supports the Trading line of business. This is a hands-on build role rather than a pure analysis role where you will design dashboards, automate manual workflows, and apply AI tools to real business problems in close partnership with Trading, Sales, Technology, Operations, Risk, and Finance partners.
Responsibilities
- Participate in a variety of assigned and ongoing business operations to ensure success in meeting business goals and objectives
- Identify opportunities for process improvement by conducting root cause testing of all compliance and business metrics
- Determine areas of strength or Business Execution opportunity within defined scope of work
- Review and research strategies and action plans to establish effective processes while meeting performance metrics and policy expectations
- Design, build and maintain dashboards and data visualizations (Tableau or equivalent) that give desk and COO leadership a clear, timely view of business performance, operating metrics and risk
- Automate recurring manual workflows such as data pulls, reconciliations and reporting packs, using Python, R and SQL to reduce turnaround time and operational risk
- Apply AI tools practically to streamline how the desks and the COO function operate