Quantitative Researcher

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Market Research, Analytics, Financial Services, BiotechnologyIndustries

Requirements

Candidates should possess a Bachelor's and/or Master's degree in a quantitative field such as Mathematics, Statistics, Finance, Computer Science, Engineering, Physics, or Financial Engineering. A minimum of 3-4 years of relevant experience at a buy-side or sell-side firm is required, along with a strong analytical toolkit and fluency in statistical modeling, econometrics, and/or machine learning methods. Proficiency with Python, R, or similar tools for quantitative research, and experience working with financial and/or alternative data to generate investment insights are essential. Deep curiosity about financial markets and a passion for data-driven investing are also necessary, as is the ability to balance independent research with collaborative execution in a fast-paced environment.

Responsibilities

The Quantitative Researcher will develop and enhance systematic strategies using alternative datasets to generate predictive insights and improve investment decision-making. Responsibilities include exploring and evaluating datasets to identify leading KPIs and statistical signals, designing and backtesting models to validate predictive value, and collaborating cross-functionally with product, data, and engineering teams to scale research into production-ready quant products. The role also involves shaping the future of the quant business line by contributing to team strategy and process development.

Skills

Quantitative Research

Data Analysis

Market Research

Alternative Data

Financial Analysis

Investment Funds

Proprietary Technology

Strategic Intelligence

Data Science

YipitData

Data analysis and research services provider

About YipitData

YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.

New York City, New YorkHeadquarters

2013Year Founded

$561.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, Financial ServicesIndustries

501-1,000Employees

Benefits

401(k) Company Match

Flexible Work Hours

Unlimited Paid Time Off

Parental Leave

Wellness Program

Professional Development Budget

Risks

Increased competition from AI-driven analytics platforms like ChatGPT.

Shift towards e-commerce may reduce demand for traditional market research services.

Inflation volatility could impact accuracy and demand for predictive analytics products.

Differentiation

YipitData specializes in alternative data, offering unique insights beyond traditional data sources.

The company provides custom reports tailored to specific business needs and sectors.

YipitData's subscription model ensures clients receive regular, detailed datasets and reports.

Upsides

Expansion into Europe and China opens new markets for localized data insights.

Carlyle Group's investment provides capital for technology and market expansion.

Focus on tracking inflation through alternative data offers a unique client value proposition.

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