Statistical Analyst role in Financial Services firm

Job Description

We Are Hiring!

Do you enjoy working with data, building statistical models, and uncovering insights that drive business success?

Join a leading U.S.-based Financial Services Firm as a Statistical Analyst and help shape data-driven strategies in the finance industry!

Position: Statistical Analyst

Location: Multiple U.S. Locations / Hybrid / Remote (as per company policy)

Employment Type: Full-Time

Experience: 1–4 Years (Exceptional recent graduates with strong statistical skills will be considered)

Salary Range: $70,000–$95,000 per year + Performance Bonus + Benefits

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Key Responsibilities:

• Analyze financial, operational, and market datasets to identify trends, patterns, and anomalies


• Develop and maintain statistical models for forecasting, risk assessment, and portfolio optimization


• Partner with cross-functional teams (risk, marketing, product) to provide actionable data-driven insights


• Create dashboards and visual reports using BI tools for senior management


• Perform data cleaning, transformation, and validation to ensure quality and accuracy


• Apply advanced statistical methods such as regression analysis, time-series modeling, and hypothesis testing


• Present findings clearly to both technical and non-technical stakeholders

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Qualifications & Eligibility:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Economics, or related quantitative field


• Proficiency in statistical programming (R, Python, SAS, or SPSS)


• Experience with SQL and data visualization platforms (Tableau, Power BI) preferred


• Strong knowledge of probability, statistical inference, and predictive modeling


• Excellent problem-solving, analytical, and communication skills

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📍 Hiring Locations:

• New York, NY – 3 Vacancies


• Chicago, IL – 2 Vacancies


• San Francisco, CA – 2 Vacancies


• Dallas, TX – 2 Vacancies


• Remote (U.S.) – Multiple Vacancies

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If you’re ready to leverage data to influence key financial decisions, apply now and join a team that values analytical excellence!

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Job Details