Nasdaq

Economic Research Senior Analyst

PHILADELPHIA, PAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Nasdaq

  • Job overview

    The Economic Research Senior Analyst at Nasdaq provides quantitative and analytical expertise to support business lines and management, delivering insights to inform decisions and advance the company's financial products and market strategies.

  • Responsibilities and impact

    The role involves analyzing complex data sets, identifying business opportunities and threats, handling customer and regulatory inquiries, presenting findings to stakeholders, partnering with product teams, and developing analytical models for ongoing insights and pricing strategies.

  • Compensation and benefits

    Nasdaq offers a competitive compensation package including base salary, annual bonus, equity, 401(k) with 6% match, employee stock purchase program, comprehensive health coverage, paid time off, flexible work schedule, parental leave, and professional development opportunities.

  • Experience and skills

    Candidates need a bachelor's degree in a quantitative field, SQL experience, and analytic programming skills (e.g., R, Python); preferred qualifications include a master's degree or experience, knowledge of machine learning libraries, data visualization tools, strong communication, and ability to manage multiple projects.

  • Career development

    Nasdaq provides robust job skills training, professional development opportunities, and education assistance programs to support career growth.

  • Work environment and culture

    Nasdaq promotes an inclusive and diverse work environment with equal opportunity employment, reasonable accommodations, and a hybrid home/office schedule for most positions.

  • Company information

    Nasdaq is a leading global financial services company known for its stock exchange and market data services, offering innovative financial products and regulatory expertise.

  • Team overview

    The candidate will join the Economic and Statistical Research team in Philadelphia, collaborating with management, customers, regulators, and product teams across the organization.

  • Job location and travel

    The position is based in Philadelphia, PA, with a hybrid home/office work schedule for most roles.

  • Unique job features

    The role offers unique opportunities to work on high-impact financial market research projects, engage with regulators and senior management, and develop innovative analytical models and pricing strategies.

Company overview

Nasdaq is a global technology company that operates one of the world's largest electronic stock exchanges, providing trading, clearing, exchange technology, listing, information, and public company services. It generates revenue through transaction fees, market data subscriptions, and technology solutions for financial institutions. Founded in 1971, Nasdaq revolutionized the stock market by introducing the world's first electronic trading system, and it continues to innovate with advancements in market technology and data analytics.

How to land this job

  • Position your resume to highlight your quantitative and analytical expertise, emphasizing experience with SQL, analytic programming (R, Python), and large data set analysis as key skills relevant to Nasdaq's Economic Research Senior Analyst role.

  • Focus on showcasing your ability to handle complex data, develop innovative solutions, and communicate effectively with management and stakeholders, aligning with the job's requirement for presenting insights and partnering with product teams.

  • Apply through multiple channels including Nasdaq's corporate career site and LinkedIn to maximize your application visibility and access to recruiter attention.

  • Connect on LinkedIn with professionals within Nasdaq's Economic and Statistical Research division; use ice breakers such as commenting on their recent publications on market microstructure or asking about their experience with Nasdaq’s product decision processes to initiate meaningful conversations.

  • Optimize your resume for ATS by incorporating keywords like 'quantitative analysis,' 'SQL,' 'Python,' 'financial regulation,' 'data visualization,' and 'machine learning,' ensuring alignment with the job description and increasing your chances of passing initial screenings.

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