Quantitative Developer

Quantitative Developer

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Collaborate with PMs to develop and deploy quantitative models for financial insights.
  • Company: Join Janus Henderson, a leader in investment management focused on client success.
  • Benefits: Enjoy hybrid working, generous holidays, health benefits, and professional development support.
  • Other info: Inclusive environment with growth opportunities and a commitment to diversity.
  • Why this job: Make a real impact in finance while using cutting-edge AI tools and mentoring others.
  • Qualifications: Experience in building and deploying quantitative models; familiarity with AI tools is a plus.

The predicted salary is between 60000 - 80000 € per year.

Why work for us? A career at Janus Henderson is more than a job, it’s about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.

Our Values are key to driving our success, and are at the heart of everything we do:

  • Clients Come First - Always
  • Execution Supersedes Intention
  • Together We Win
  • Diversity Improves Results
  • Truth Builds Trust

If our mission, values, and purpose align with your own, we would love to hear from you!

Your opportunity:

  • Partner with asset allocation PMs and researchers to take ideas from notebook to production: signals, CMAs, optimization, portfolio construction, rebalancing rules, and attribution.
  • Build and extend the team's research platform: data ingestion, back testing, scenario analysis, portfolio construction, monitoring, and reporting.
  • Own the multi-asset data layer: market data, macro, fundamentals, fund and index data, internal holdings, with quality control the PMs actually trust.
  • Use AI coding agents daily for prototyping, refactoring, testing, review, and documentation.
  • Bring opinions on where they help and where they hurt.
  • Build internal AI-backed tooling for the team where it earns its keep: research workflows, client-reporting drafts, commentary support, meeting prep.
  • Write production code that other quants want to build on.
  • Own reliability, testing, and observability for what you ship.
  • Mentor teammates on effective AI-augmented engineering practice.
  • Carry out other duties as assigned.

What to expect when you join our firm:

  • Hybrid working and reasonable accommodations.
  • Generous Holiday policies.
  • Excellent Health and Wellbeing benefits including corporate membership to ClassPass.
  • Paid volunteer time to step away from your desk and into the community.
  • Support to grow through professional development courses, tuition/qualification reimbursement and more.
  • Maternal/paternal leave benefits and family services.
  • Complimentary subscription to Headspace – the mindfulness app.
  • All employee events including networking opportunities and social activities.
  • Lunch allowance for use within our subsidized onsite canteen.

Must have skills:

  • Have built industrial-scale enterprise-quality quantitative/systematic models based on specs provided by PM's.
  • Have deployed quantitative/systematic models to production at non-trivial size.
  • Have monitored operational performance of these models and taken ownership of making sure the models behave properly.
  • Are familiar with the SDLC (eg testing/deployment).
  • Are heavy users of modern AI tools (claude code/codex/opencode/pi/ampcode/factory droid/cursor/cline).
  • Have written extensive documentation about the implementation of a model.

Nice to have skills:

  • Working knowledge of financial markets preferred.
  • Knowledge of Excel preferred.
  • Github (or other version control), CI/CD and/or cloud services experience is beneficial.
  • Excellent interpersonal, relationship building and customer service skills.
  • Strong econometrics and statistics background, experience in asset pricing empirical work.
  • Passionate about financial markets with a curiosity about investing.

Supervisory responsibilities: No.

Potential for growth:

  • Mentoring.
  • Leadership development programs.
  • Regular training.
  • Career development services.
  • Continuing education courses.

You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request, we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.

Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.

Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits.

Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.

Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).

You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.

Quantitative Developer employer: GWP

At Janus Henderson, we pride ourselves on fostering a collaborative and inclusive work environment that prioritises employee well-being and professional growth. With generous benefits such as hybrid working options, extensive health and wellness programmes, and opportunities for mentorship and career development, we empower our Quantitative Developers to thrive while contributing to our mission of delivering superior financial outcomes for our clients.

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Contact Detail:

GWP Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Developer

Tip Number 1

Network like a pro! Reach out to current employees at Janus Henderson on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!

Tip Number 2

Prepare for the interview by brushing up on your technical skills. Since you're aiming for a Quantitative Developer position, be ready to discuss your experience with quantitative models and AI tools. Practice coding challenges and be prepared to showcase your problem-solving abilities.

Tip Number 3

Show your passion for financial markets! During interviews, share your insights on recent market trends or interesting projects you've worked on. This will demonstrate your enthusiasm and fit for the company’s mission and values.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Janus Henderson.

We think you need these skills to ace Quantitative Developer

Quantitative/Systematic Modelling
Production Deployment
Operational Performance Monitoring
Software Development Life Cycle (SDLC)
AI Tools Proficiency
Documentation Writing
Financial Markets Knowledge

Some tips for your application 🫡

Show Your Passion:When you're writing your application, let your enthusiasm for financial markets shine through! We want to see that you’re not just ticking boxes but genuinely excited about the role and what we do at Janus Henderson.

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience and skills. We love seeing how your background aligns with our mission and values, so don’t hold back on connecting the dots!

Be Clear and Concise:Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your qualifications without wading through fluff!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure it gets into the right hands. Plus, it shows us you’re serious about joining our team!

How to prepare for a job interview at GWP

Know Your Models Inside Out

Make sure you can discuss the quantitative/systematic models you've built in detail. Be prepared to explain how you've deployed them to production and monitored their performance. This shows you not only understand the technical aspects but also take ownership of your work.

Familiarise Yourself with AI Tools

Since the role involves using modern AI tools, brush up on your knowledge of these technologies. Be ready to share your experiences with AI coding agents and how they’ve helped you in prototyping or testing. This will demonstrate your adaptability and forward-thinking approach.

Align with Their Values

Janus Henderson places a strong emphasis on values like putting clients first and teamwork. Think about examples from your past experiences that reflect these values. Showing that you resonate with their mission will help you stand out as a candidate who fits their culture.

Prepare for Technical Questions

Expect to face technical questions related to the SDLC, testing, and deployment processes. Brush up on your econometrics and statistics knowledge, especially as it relates to asset pricing. Being well-prepared will help you answer confidently and showcase your expertise.