QuantInsti | Sr. Associate, Business Analytics
4 weeks ago
Role Summary:
We are seeking an experienced Quantitative Trader with a strong entrepreneurial mindset. The ideal candidate will have extensive experience applying quantitative techniques in trading, a passion for exploring research papers, and a keen interest in staying updated with the latest computational advancements.
In addition to your technical expertise, you possess a business-oriented mindset and are driven to make meaningful contributions to the field of algorithmic trading across diverse economies.
We offer an engaging and dynamic environment where you can design innovative solutions in quantitative trading. Our mission is to develop products that cater to a wide range of audiences—from advanced practitioners to beginners—making algorithmic trading more inclusive and accessible to all.
About the Team
We are at the heart of QuantInsti’s mission to deliver world-class learning experiences for aspiring and professional traders. Our team collaborates across functions to design and deliver engaging, data-driven content while contributing to the company’s strategic goals in product development, sales, and marketing.
Key Responsibilities
- Develop innovative algorithmic trading products for individual traders and financial institutions in the education and fintech domains.
- Apply analytical and quantitative techniques to drive efficiency and productivity across teams, including product, marketing, and sales.
- Identify and address challenges faced by the algorithmic trading industry in major global markets, contributing to practical and impactful solutions.
- Take entrepreneurial initiatives to align with and support QuantInsti’s vision.
Required Qualifications:
- 7–15 years of relevant experience in financial markets, trading, or quantitative research.
- Strong analytical and problem-solving skills, with expertise in:
- Probability, statistics, and algorithms.
- Machine learning frameworks ( e.g.Keras, PyTorch, or TensorFlow).
- Python data science and machine learning ecosystems.
- Data structures and data modeling.
- Bachelor’s or Master’s degree in engineering, statistics, computer science, finance, or a related quantitative field from a reputable institution.
- Excellent time management and organizational skills.
- Outstanding written and verbal communication skills, with a knack for creating compelling content.
Preferred Qualifications:
- Previous experience as a Machine Learning Engineer, Quantitative Researcher, or in a similar role.
- Demonstrated ability to design and deploy machine learning systems for real-world applications.
- A passion for continuous learning, innovation, and pushing boundaries.
Key Skills:
- Quantitative Research
- Quantitative Finance
- Machine Learning
- Data Science
- EdTech and FinTech
- Financial Markets
- Content Development
About QuantInsti®:
QuantInsti® was started in 2010, by the founders from iRage – a leading quant and algo trading firm in India. From its early days focused on bridging the industry knowledge gap in the field of high-frequency trading, we have come a long way in the last decade. Today, we have a user base from 180+ countries with a growth rate much over 50% year-on-year.
At QuantInsti®, we swear by our goal of revolutionizing the way people approach the financial markets by empowering individuals and institutions with bleeding-edge education and technologies. We offer high-quality learning experience and best-in-class courses geared towards a global audience in quantitative trading and investing. Our in-house developed technology aims to bring institutional-grade tools and platforms to democratize systematic and quantitative trading.
Why you should join us:
At QuantInsti, we work at the cutting edge of FinTech and EdTech offerings. We work with the newest technologies with the goal of delivering the best experience to our users in a scalable manner, with high-performance and availability. If you love to be challenged intellectually, rest assured we have plenty of them for you. We follow an open and free work culture, where you are encouraged to ask questions, learn, and teach. We offer a fast-paced environment where you take ownership of what you design and deliver. If you are looking for a move where you will find a reason to wake up every morning and rush to work, come join us.
If you are passionate about driving innovation in financial education and quantitative trading, and eager to be part of a team transforming learning experiences globally, we encourage you to apply today
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