Entry Level Analytics Lead Jobs
New grad analytics lead jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site, remote, and hybrid roles across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with employers like Citi, Notion, and KeyBank hiring at this level now.
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About this role:
Wells Fargo is seeking a C++ Software Engineer, (Senior Lead Securities Quantitative Analytics Specialist). The Front Office Financial Software Engineer will play a pivotal role in designing and implementing high-performance APIs that expose a comprehensive mortgage analytics quantitative library. These APIs will serve as the backbone for delivering advanced financial modeling capabilities—including interest rate modeling, mortgage prepayment and default analysis, derivative valuation, hedging strategies, and horizon forecasting—to a diverse set of users and use cases across the bank.
The Wells Fargo Investment Portfolio (IP) manages the Company’s Available-For-Sale (AFS) and Held-To-Maturity (HTM) securities and loan portfolios, and the Reinsurance and Bank Owned Life Insurance (BOLI) businesses as part of the Finance group. IP also provides strategic and analytical balance sheet support to the bank, as well as a centralized, street-facing trade execution and hedging function and centralized mortgage modeling for the enterprise.
In this role you will:
Implement and enhance the firm’s proprietary analytics library in C++
Generate, test, implement, and deploy ideas to improve system performance or team productivity
Improve the library’s safety, reliability, and usability
Work constructively in collaboration with business, model development, model validation, and IT
Required Qualifications:
7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of hands-on C++17 and Python 3 experience
1+ year of C API design and development experience (JNI, SWIG)
Desired Qualifications:
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Experience with API design (e.g. scripting find modules, CTest, CMake presets)
Deep understanding of platform-specific ABIs (e.g., System V ABI, Windows ABI)
Experience with calling conventions (cdecl, stdcall, fastcall, etc.)
Familiarity with compiler behavior and object file formats
Ability to write portable and stable C interfaces
Knowledge of dynamic linking, symbol resolution, and runtime behavior
Hands on programming experience on C++2x
3+ years of quantitative analytics library software development experience in a buy-side or sell-side institution or a quant solution vendor
Experience in software development cycle and agile technologies, e.g. Git, Jira, Confluence
Job Expectations:
Ability to travel up to 10% of the time
This position is eligible for Visa sponsorship
Must be able to work on-site
Posting Locations:
150 E 42nd St. New York, NY 10017
550 S Tyron Charlotte, NC
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.
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- 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:
26 Jul 2026- Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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Who's Hiring
- Citi3
- Notion2
- KeyBank2
- Ralph Lauren2
- LMI1
Top Industries Hiring
- Technology & Software9
- Banking & Financial Services7
- Investment & Asset Management5
- Construction & Real Estate3
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Entry Level Analytics Lead Jobs: Frequently Asked Questions
How do I get an entry level analytics lead job?
Focus on building a portfolio that shows you can clean data, identify patterns, and communicate findings clearly. Employers hiring at this level look for candidates who have completed internships, capstone projects, or self-directed analyses using tools like SQL, Python, or Tableau. Demonstrating initiative through personal projects or bootcamp coursework can give you a real edge over candidates who rely on credentials alone.
Which companies hire entry level analytics leads?
Companies hiring entry level analytics leads right now include Citi, Notion, and KeyBank, based on current listings on Migrate Mate as of July 2026. A mix of large enterprises, fast-growing startups, and mid-size companies across several industries actively recruits at this level, often targeting candidates who can step into a data-focused role with minimal ramp-up time.
Are there remote entry level analytics lead jobs?
Yes, though availability varies by industry and employer. About 44% of entry level analytics lead openings are remote or hybrid as of July 2026, so a meaningful share of roles give new candidates flexibility from day one. Filtering by work setting on Migrate Mate lets you see which openings match your preference without sorting through listings manually.
Are these new grad analytics lead jobs?
Yes, these listings include new grad, recent graduate, and junior analytics lead roles alongside other entry level postings. A new grad friendly posting typically welcomes zero to two years of experience and explicitly accepts internships, academic projects, or a strong portfolio in place of full-time work history. If the job description mentions training programs or doesn't require prior leadership experience, it's generally a solid target for a new grad applicant.
Which industries hire the most entry level analytics leads?
Entry Level analytics lead roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of July 2026. These sectors tend to generate high volumes of data that need organized interpretation, which makes them consistent sources of early-career opportunities for candidates who can show analytical thinking and clear communication skills.