Job DescriptionAbout This Job The
Financial Services Data Research Team supports the global investment community through high-quality datasets, research, and analytical expertise. Our clients include Hedge Funds, Mutual Funds, Pension Funds, and Quantitative Investment Firms that rely on our data products to generate investment insights and better understand market dynamics. The team works closely with Product, Data Science, Commercial, and Client Success functions to deliver exceptional value to sophisticated financial market participants.
As a
Lead Research Analyst, Data Feeds, you will serve as a subject matter expert for NIQ's financial services datasets, partnering directly with clients to help them understand, evaluate, and leverage our data solutions. This role offers a unique opportunity to combine advanced analytics, statistical modeling, client engagement, and financial market knowledge in a highly visible position that directly impacts client success, product adoption, and business growth.
Responsibilities - Serve as a primary point of contact for clients utilizing NIQ's financial services datasets, providing expert guidance and analytical support.
- Support data trials and proof-of-concept initiatives for prospective and existing clients evaluating new datasets.
- Conduct deep-dive discussions with clients regarding underlying data methodologies, data quality, and investment applications.
- Develop statistical analyses and quantitative models to identify meaningful trends, patterns, and signals within large datasets.
- Analyze drivers of company and sector performance and connect those drivers to insights generated from NIQ's e-commerce and consumer datasets.
- Create client-facing research, presentations, and analytical materials that translate complex data into actionable investment insights.
- Collaborate with Product, Data Science, Technology, Commercial, and Client Success teams to enhance existing data products and develop new solutions.
- Identify opportunities to improve data coverage, methodologies, and analytical frameworks that increase value for investment clients.
- Stay informed on financial markets, investment trends, and emerging analytical techniques to continuously elevate the team's capabilities.
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QualificationsRequired Qualifications - Bachelor's degree in Statistics, Engineering, Economics, Finance, Mathematics, or another highly quantitative discipline.
- Professional experience in Analytics, Research, Financial Services, Consulting, Data Science, or a related field.
- Strong applied statistical expertise, including:
- Regression analysis
- Statistical inference
- Data imputation techniques
- Time-series analysis
- Proficiency in Python, R, SAS, or MATLAB.
- Strong SQL skills and experience working with relational databases.
- Advanced Microsoft Excel capabilities.
- Demonstrated ability to transform large and complex datasets into actionable business insights.
- Excellent verbal, written, and presentation skills with the ability to communicate effectively to sophisticated client audiences.
- Strong organizational, planning, and project management skills.
- Ability to thrive in a fast-paced, collaborative, and client-facing environment.
Preferred Qualifications - Experience within Asset Management, Hedge Funds, Mutual Funds, Pension Funds, or Quantitative Investment environments.
- Consulting, investment research, or financial analytics experience.
- Familiarity with e-commerce, consumer, retail, or alternative datasets.
- MBA, Master's degree in Financial Mathematics, Statistics, Economics, or a related field.
- Experience building quantitative models that inform investment decisions.
- Strong understanding of capital markets, investment strategies, and macroeconomic drivers.
- Demonstrated curiosity and passion for learning new analytical methodologies, technologies, and financial market concepts.
Additional InformationThis role has a market-competitive salary with an anticipated base compensation of the following range:
$ 69,800 - $ 100,000 USD. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Other benefits include flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more.
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US Benefits - Comprehensive healthcare plan (medical, Rx, dental, and vision).
- Flexible spending accounts and a Health Savings Account (including company contributions).
- Life and AD&D insurance.
- 401(k) retirement plan including company matching contributions.
- Disability insurance.
- Tuition Reimbursement.
- Discretionary paid time off program and 11 paid holidays.
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
Our Benefits- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
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