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- Tasks: Develop quantitative models for risk management and asset valuation in a dynamic digital assets environment.
- Company: Talos is a leading provider of institutional-grade trading technology for digital asset markets.
- Benefits: Enjoy wellness credits, paid lunches, fitness events, and a vibrant company culture.
- Why this job: Tackle complex challenges and innovate in a fast-growing field with a supportive team.
- Qualifications: BS in computer science or related field; experience in Python and financial modelling preferred.
- Other info: Hybrid work environment with hubs in major cities like New York and London.
The predicted salary is between 43200 - 72000 £ per year.
Talos provides institutional-grade trading technology for global digital asset market participants, powering many of the major players in the digital asset ecosystem. We are a tight-knit but decentralized team of highly-experienced engineers and businesspeople. We have a hybrid work environment with physical hubs in New York, Singapore, London and Cyprus.
The Talos PMS is a new, flagship product for Talos. This role is a chance to reimagine risk systems for a digital assets world. For the right candidate, this offers complex technical challenges and chances to innovate in a fast-growing and impactful area.
Must Have- BS or above in computer science or related engineering field.
- Experience developing sophisticated analytical code in Python for production systems.
- Proven ability to collaborate and solve problems in fast-moving teams as a hands-on, senior independent contributor.
- Experience with one or more relational and time-series databases.
- Knowledge of basic financial modeling in at least one asset class, ideally for derivatives.
- Financial engineering or related finance-related degree.
- Experience with equity or fixed income derivatives volatility models for risk and trading systems.
- Experience with data engineering frameworks like Airflow, Luigi or Dagster.
- Experience developing financial model libraries in Python, Java, or C++.
- Experience with risk and optimization tools such as Aladdin, RiskMetrics, Barra, Axioma - as a model developer, not just a user.
- Knowledge of digital assets and their markets, both spot & derivatives products.
- Building quantitative models for risk management, asset valuation, derivatives pricing, and simulations.
- Collaborating with data engineers and infrastructure team to incorporate quantitative functions into data pipelines and services.
- Automating number & regression testing and backtests to ensure top-quality analytics.
- Documenting analytical models and APIs for client consumption.
- You’re a technical leader who thrives on complex challenges and can translate between business and technology.
- You have deep capital markets technology experience, specifically around PMS systems.
- You’re comfortable with ambiguity and excited about shaping emerging technology.
- You prefer following strict playbooks or working solo.
- You need rigid structure or standard working hours.
- You lack capital markets systems or markets knowledge.
You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. Our offerings include a monthly wellness credit for personal use, such as gym memberships, massages, or even a ski pass for your next holiday. Additionally, we provide paid lunches in the office, monthly fitness and evening socials to foster connections with colleagues, and annual offsite events to engage with the wider team.
Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
Contact Detail:
Talos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer, Portfolio Management System
✨Tip Number 1
Familiarise yourself with Talos and their flagship Portfolio Management System. Understanding their product will not only help you in interviews but also show your genuine interest in the role.
✨Tip Number 2
Brush up on your Python skills, especially in developing analytical code. Be prepared to discuss specific projects where you've implemented complex algorithms or models, as this is crucial for the Quant Developer position.
✨Tip Number 3
Network with professionals in the digital asset space. Engaging with others in the industry can provide insights into current trends and challenges, which could be beneficial during your interview.
✨Tip Number 4
Prepare to demonstrate your problem-solving abilities in a collaborative environment. Think of examples where you've successfully worked in teams to tackle complex issues, as this aligns with the role's requirements.
We think you need these skills to ace Quant Developer, Portfolio Management System
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in developing analytical code in Python and any relevant financial modelling skills. Emphasise your ability to collaborate in fast-paced environments, as this is crucial for the role.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the Quant Developer position at Talos. Mention specific projects or experiences that demonstrate your technical leadership and problem-solving abilities in capital markets technology.
Showcase Relevant Skills: Clearly outline your experience with relational and time-series databases, as well as any knowledge of risk and optimisation tools. If you have experience with data engineering frameworks, be sure to include that too.
Prepare for Technical Questions: Anticipate technical questions related to quantitative models and risk management. Be ready to discuss your previous work and how it relates to the responsibilities outlined in the job description.
How to prepare for a job interview at Talos
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any analytical code you've developed. Bring examples of your work, especially those that demonstrate your ability to solve complex problems in production systems.
✨Understand Financial Modelling
Brush up on your knowledge of financial modelling, particularly in derivatives. Be ready to explain how you’ve applied this knowledge in past projects, as it will be crucial for the role.
✨Demonstrate Collaboration
Since the role involves working closely with data engineers and other teams, highlight your experience in collaborative environments. Share specific examples of how you’ve successfully worked in fast-moving teams.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice articulating your thought process when tackling complex problems, as this will showcase your analytical skills and ability to innovate.
