Quantitative Researcher

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TradingIndustries

Requirements

Candidates must possess an advanced degree in Mathematics, Statistics, Economics, Finance, or a related field, such as a Master's degree (MSc) or a PhD. They should have experience and knowledge of AI/ML and LLM models and technologies applied to Finance and Trading, along with proficiency in programming languages including Python, SQL, and C++. Prior experience in a quantitative role within a trading environment is a plus, as is experience solving data-intensive problems and demonstrated ability to complete statistical or applied mathematical research.

Responsibilities

As a Quantitative Researcher, you will work with a team to develop various trading signals, AI/ML models, and quant strategies for financial markets, designing and implementing components of the research and innovation system. You will evaluate the effectiveness of these components using accurate statistical methods, and contribute to the overall research and development efforts within the firm.

Skills

AI/ML

LLM

Python

SQL

C++

Derivative Pricing

Portfolio Optimization

Quantitative Investing

Statistical Methods

Data-Intensive Problems

Applied Mathematical Research

Quantitative Trading

DV Trading

Proprietary trading and liquidity provision firm

About DV Trading

DV Trading is a proprietary trading firm that engages in trading financial instruments on derivatives and securities exchanges worldwide. The firm uses its own capital and advanced technology to provide liquidity in the markets, employing both quantitative and discretionary trading strategies. Unlike its competitors, DV Trading fosters a collaborative culture with a flat organizational structure, allowing for quick adaptation to market changes. The company's goal is to optimize trading performance and achieve significant returns by leveraging its market relationships.

Chicago, IllinoisHeadquarters

2006Year Founded

VENTURE_UNKNOWNCompany Stage

Energy, Fintech, Financial ServicesIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Life Insurance

Disability Insurance

Unlimited Paid Time Off

401(k) Company Match

Paid Parental Leave

Wellness Program

Risks

Increased competition from AI-driven algorithmic trading firms threatens market share.

DeFi platforms attract liquidity away from traditional firms like DV Trading.

Regulatory scrutiny may increase operational costs for proprietary trading firms.

Differentiation

DV Trading leverages both quantitative and discretionary strategies for market liquidity.

The firm has a strong presence in derivatives and securities exchanges globally.

DV Trading emphasizes a flat organizational structure for quick market adaptation.

Upsides

Algorithmic trading in energy markets offers new opportunities for DV Trading.

DeFi platforms provide avenues for innovative liquidity models and strategy diversification.

Machine learning advancements enhance DV Trading's decision-making and trade execution.

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