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Algorithmic Trading Analyst Jobs in Linden, NJ (NOW HIRING)

Wintermute

Algorithmic Trader

New York, NY · On-site

You will analyse large amounts of trading and transaction data, identify opportunities, build and ... Opportunity to work at the world's leading algorithmic trading firm covering both digital assets ...

Wintermute Group

Algorithmic Trader

Manhattan, NY · On-site

You will analyse large amounts of trading and transaction data, identify opportunities, build and ... Opportunity to work at the world's leading algorithmic trading firm covering both digital assets ...

Initio Capital

Trading Analyst

New York, NY · Remote

$145K - $185K/yr

Familiarity with quantitative analysis , statistical models, and trading algorithms * Proficiency in Excel , SQL , or other financial modeling and data analysis tools * Familiarity with trading ...

P2P

Algorithmic Trader

Manhattan, NY · On-site

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... You'll need to analyze large amounts of trading and transaction data, generate insights, prioritize ...

Pantera Capital

Algorithmic Trader

Manhattan, NY · On-site

$210K - $240K/yr

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... You'll need to analyze large amounts of trading and transaction data, generate insights, prioritize ...

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Algorithmic Trading Analyst information

What is an algorithmic trading analyst?

An Algorithmic Trading Analyst is a finance professional who designs, develops, and tests automated trading strategies using mathematical models and computer algorithms. They analyze market data, identify patterns, and create systems that can execute trades at optimal times and prices without human intervention. Their work involves programming, data analysis, and a deep understanding of financial markets. These analysts often collaborate with traders, quants, and software engineers to improve trading performance and manage risks.

What are the key skills and qualifications needed to thrive as an algorithmic trading analyst?

To thrive as an Algorithmic Trading Analyst, you need a solid background in quantitative analysis, programming skills (often in Python, C++, or Java), and a degree in finance, mathematics, statistics, or a related field. Familiarity with trading platforms, market data feeds, backtesting frameworks, and certifications such as CFA or FRM can be highly beneficial. Exceptional problem-solving abilities, attention to detail, and strong communication skills help analysts adapt strategies and collaborate with trading teams. These skills are crucial for developing robust trading algorithms, minimizing risk, and capitalizing on market opportunities in a fast-paced environment.

What are some of the main challenges faced by algorithmic trading analysts in their daily work?

Algorithmic Trading Analysts often encounter challenges such as adapting to rapidly changing market conditions and ensuring that trading algorithms remain robust and effective. They must vigilantly monitor algorithm performance, quickly troubleshoot issues, and fine-tune models to minimize risk and maximize returns. Additionally, collaborating with software developers, traders, and risk managers is essential to implement updates and maintain compliance with regulatory standards. Staying current with the latest financial technologies and market trends is also crucial for long-term success in this dynamic field.

What is the difference between Algorithmic Trading Analyst vs Quantitative Analyst?

AspectAlgorithmic Trading AnalystQuantitative Analyst
Required CredentialsBachelor's in finance, computer science, or related field; often certifications like CFA or CQFDegree in mathematics, statistics, or finance; advanced certifications like CFA or FRM common
Work EnvironmentFinancial firms, hedge funds, trading desks; focus on developing and implementing trading algorithmsInvestment banks, asset management firms; focus on modeling and data analysis for investment strategies
Employer & Industry UsagePrimarily in trading and hedge fund industriesBroader across finance, risk management, and research roles

While both roles require strong quantitative skills and familiarity with financial markets, Algorithmic Trading Analysts focus on developing and deploying trading algorithms, whereas Quantitative Analysts often work on broader financial modeling and risk assessment. The roles overlap in skills and certifications but differ in daily tasks and primary objectives.

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Cities near Linden, NJ with the most Algorithmic Trading Analyst job openings:

Algorithmic Trading Analyst jobs near you

Algorithmic Trader

New York, NY • On-site

Wintermute
1 - 10 employees
Learn more about Wintermuteexternal

Full-time

Medical, PTO

Re-posted 6 days ago

Job description

About Wintermute
Wintermute is one of the largest algorithmic trading companies in digital assets. We provide liquidity algorithmically across all major cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto.
Wintermute is not just a trading company, it is one the most prominent and influential players in the digital asset markets: we are connected and partnering with all major players in the industry, we actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. You can read more here.
Working at Wintermute
We are looking for an Algorithmic Trader with strong quantitative and Python skills, good trading instincts and a curiosity about algorithmic trading, high-frequency trading, liquidity provision and digital assets. You will take ownership of P&L-impacting trading projects from an early stage, working closely with experienced traders and developers across our global trading team. After an initial training period, you will be given significant independence and responsibility. You will analyse large amounts of trading and transaction data, identify opportunities, build and improve trading strategies and develop solutions based on your findings. There are no legacy systems, multiple layers of approvals or rigid boundaries between trading, analysis and development. You will be encouraged to identify opportunities, build solutions and make an immediate impact. This is primarily a trading and business role rather than a pure research role. We are looking for people who enjoy combining quantitative analysis, coding and commercial decision-making to drive P&L.
What will you work on:
  • Improving and optimising existing trading strategies.
  • Researching and developing new trading strategies and products.
  • Analysing large volumes of market, trading and transaction data to identify opportunities.
  • Building tools and solutions to improve trading performance and decision-making.
  • Improving the technology and infrastructure supporting our trading systems.
  • Monitoring trading performance and reacting quickly to changing market conditions.
  • Exploring new markets, products and trading opportunities.
  • Taking ownership of projects that have a direct impact on P&L.
  • You will work closely with experienced traders, quantitative developers and the wider management team while gradually taking increasing ownership of your own strategies and areas of the business.

Hard Skills Requirements:
  • Strong Python skills - typically 1-3 years of coding experience through professional work, internships, academic work or personal projects. We will test this during the interview process.
  • Excellent quantitative and analytical skills - we will test these.
  • Typically 1-3 years of relevant experience, although we also welcome exceptional recent graduates with relevant internships, particularly from HFT, quantitative trading or similar environments.
  • Trading experience is not essential, but you should have strong trading intuition and a genuine interest in learning about algorithmic trading, high-frequency trading, quantitative trading and liquidity provision.
  • Strong ability to analyse complex datasets, identify patterns and turn insights into practical solutions.
  • An interest in financial markets and technology. Experience or interest in crypto, blockchain and DeFi is beneficial but not required.

Other Requirements:
  • You have an owner mentality and focus on the ultimate outcome: generating sustainable P&L and helping grow the business over the long term.
  • You love solving problems and seeing the solutions you build work in practice.
  • You are comfortable moving between trading, coding, data analysis and collaboration depending on what is required.
  • You are determined, ambitious and humble, with a strong willingness to learn.
  • You enjoy working in a meritocratic environment where performance and impact matter.
  • You have an entrepreneurial mindset rather than a 9-to-5 mentality and are comfortable with the demands of fast-moving global markets.
  • You enjoy working collaboratively with traders, developers and other teams.
  • You are comfortable working primarily from the office while maintaining flexibility where appropriate.

Here is why you should join our dynamic team:
  • Opportunity to work at the world's leading algorithmic trading firm covering both digital assets and traditional finance.
  • Engaging projects offering accelerated responsibilities and ownership growth compared to traditional finance environments.
  • A vibrant working culture with team events, celebrations and company wide team building events.
  • For US applicants: a cool office in the heart of New York City which often hosts some of the leading industry events
  • For London applicants: a Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games.
  • Great company culture: informal, non-hierarchical, ambitious, highly professional yet with a startup vibe, collaborative and entrepreneurial.
  • A performance-based compensation with a significant earning upside.
  • For US, the base salary range for this role is $210,000 - $240,000. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and medical insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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