Quantitative Researcher

BLOCKTECH APAC PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading algorithmic trading firm in Singapore is seeking a Quantitative Researcher. The role involves conducting research, collaborating with a team on pricing models, and leveraging Python skills to enhance trading strategies. The ideal candidate will hold a degree in a quantitative field, have a strong interest in financial markets, and possess a positive attitude. This full-time position offers competitive compensation, extensive training, and a vibrant office culture.

Benefits

Competitive compensation with attractive bonus plan

Annual Learning & Development budget

Gym membership reimbursement

Daily breakfast and warm lunch

Regular social events

Qualifications

• Academic degree with excellent study results required.
• Proven programming experience in Python needed.
• Positive attitude, creativity, and adaptability are essential.

Responsibilities

• Conduct research on trading problems with a practical mindset.
• Collaborate with traders and developers to enhance pricing models.
• Test ideas using market data and support features post-implementation.

Skills

Experience working with Python

Ability to adapt to new technologies

Interest in financial markets

Fluency in English

Education

Degree in Econometrics, Mathematics, Physics, or any other quantitative field

Job description

Roles & Responsibilities

Who are we looking for?

BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency trading while expanding into regulated markets. As we continue to grow rapidly, we are looking for a Quantitative Researcher to join us amid our exciting scale-up phase!

What will you do?

• Conduct research on trading problems with a practical and solution-driven mindset.
• Collaborate closely with Quantitative Traders, Quantitative Developers, and Data Scientists on the trading floor to develop, evaluate, and enhance robust pricing models.
• Explore new trading opportunities and build back‑testing tools.
• Test your ideas using high‑volume market data and implement them in production.
• Monitor implemented features and provide support when needed.

What do we require from you?

• An academic degree in Econometrics, Mathematics, Physics or any other quantitative field with excellent study results (cum laude or higher)
• Experience working with Python
• Programming experience in Python
• Proven ability to quickly adapt to new technologies and systems
• A positive, can‑do attitude and a creative mindset
• A genuine interest in financial markets
• A long‑term commitment to growing with us
• Fluency in English (written and verbal)

What is in it for you?

• A full‑time position in a relaxed and modern office in Amsterdam
• Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance
• Outstanding performance is rewarded with the opportunity to buy into the trading fund
• Annual Learning & Development budget of EUR 2,500
• Pension plan, company laptop, and reimbursement of your internet costs at home
• Extensive in‑house training program
• A highly collaborative and experienced Scrum / Agile team
• The opportunity to work at the forefront of automated trading, using state‑of‑the‑art technology
• Daily breakfast and warm lunch. Additionally, snacks and drinks are provided throughout the day.
• Gym membership reimbursement and the opportunity to engage in various sports during working hours, including kickboxing, CrossFit, fitness, and soccer
• Regular social events, including weekly Friday drinks, monthly game nights, monthly company outings, quarterly sports competitions and bi‑annual trips abroad!
• For internationals : All‑in relocation package and Dutch classes

Our culture

At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.

In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities.

We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.

Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.