Tax Accountant at PDT Partners

New York, New York, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Hedge Fund, Investment Management, FinanceIndustries

Requirements

4-8+ years of tax accounting experience (hedge fund experience not required)
CPA or EA preferred
Highly-proficient in Excel, and familiarity with other database applications
Strong organizational and execution skills
Analytically-inclined and keenly interested in problem-solving
Process and improvement-oriented
Familiarity with QuickBooks or similar accounting software
Ability to work hybrid from New York City office at minimum 3 days a week

Responsibilities

Partner tax compliance, including preparation of tax returns for federal, state and local jurisdictions and filing of estimated payments during the year
Associated entity compliance, including preparation of trust, LLC, partnership, and tax-exempt entity tax returns for federal, state and local jurisdictions
Tax, estate, and cash flow planning and ad hoc advice for partners, employees, and internal investors
Preparation of closely-held entity financial statements and booking of monthly transactions
Assistance with the production of partner-specific financial statements and cash flow schedules to assist with associated planning
Involvement in tax planning and research at the management company level (e.g., sales and use tax, Federal and state audits, state apportionment and nexus thresholds, and R&D credit analyses)
Review of the Automatic Exchange of Information (“AEOI”) annual filings for all applicable jurisdictions
Stay current and provide updates on the changing tax rules in the US and applicable foreign jurisdictions

Skills

Tax Compliance

Tax Return Preparation

Federal Tax

State Tax

Local Tax

Estimated Tax Payments

Partnership Returns

LLC Returns

Trust Returns

Tax-Exempt Entities

Estate Planning

Cash Flow Planning

Financial Statements

Accounting

Tax Planning

Tax Research

PDT Partners

Quantitative asset management and algorithmic trading

About PDT Partners

PDT Partners focuses on quantitative asset management by developing models that identify inefficiencies in financial markets and predict market movements. The firm uses sophisticated trading algorithms that analyze large amounts of market data to find patterns and execute trades accurately. Unlike many competitors, PDT Partners has a long history in algorithmic trading, having been a pioneer in the field since the 1990s. The company serves institutional clients, such as hedge funds and pension funds, helping them optimize their investment strategies through data-driven insights. PDT Partners aims to foster a collaborative environment where its team can continuously explore and innovate, ensuring that all ideas are carefully validated before implementation.

New York City, New YorkHeadquarters

1993Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Benefits

Full medical, dental, vision, disability, and life insurance coverage

Wellness perks and programs

Generous time off and unlimited sick leave

Match charitable giving

Subsidize fitness and exercise

Emergency back-up child and elder care

401k matching and pre-tax benefits

Risks

Emerging quantitative firms using AI may erode PDT's market share.

Intensifying regulatory scrutiny could lead to stricter compliance requirements for PDT.

Technological advancements necessitate costly upgrades to maintain PDT's competitive edge.

Differentiation

PDT Partners excels in quantitative investing with a focus on market inefficiencies.

The firm leverages cutting-edge technology and scientific research for algorithmic trading.

PDT Partners fosters a collaborative culture, encouraging innovation and intellectual curiosity.

Upsides

Rising ESG investing trends offer opportunities for specialized algorithm development by PDT.

Alternative data sources enhance PDT's market prediction capabilities.

Machine learning adoption allows PDT to integrate sophisticated pattern recognition into models.

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