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Data Scientist

City:  London
Division:  Enterprise Data

 

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

 

  • The Data Scientist will develop and deliver AI and machine learning solutions that improve operational effectiveness, generate investment insights and enhance client servicing
  • Build and deploy AI applications using RAG framework, including developing data pipelines to source structured and unstructured data, generate vector embeddings, create search index, and build UI using Streamlit
  • Leverage advanced Machine Learning techniques, including Random Forest, Gradient Boosting, Clustering etc. to develop predictive models to drive customer engagement, retention, asset growth etc.
  • Use Natural Language Processing techniques to parse large volumes of unstructured data to generate actionable insights for business stakeholders
  • Develop and maintain complex data pipelines to extract data from on-prem and cloud data warehouses
  • Partner with all areas of the Enterprise to identify opportunities to leverage data science capabilities and deliver creative solutions
  • Participate in cross functional programs and projects to deliver business intelligence through data science
  • Deliver effective, consistent, and streamlined dashboards for leadership to identify key gaps in performance and coach to stronger business outcomes
  • Develop relationships with business areas, data operations, technology, and risk to oversee the delivery of data-related services to the organization
  • Support a culture of analytics and using new technologies to support business expansion
  • 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

 

  • Masters in Computer Science or Data Science
  • Experience in data science and analytics, preferably in the asset management industry
  • Expertise in data science that includes behavioral analytics, statistical analyses, machine learning, deep learning and natural language processing
  • Experience developing, implementing and maintaining machine learning models
  • Experience developing Generative AI applications using RAG
  • Experience optimizing LLM queries using prompt engineering techniques
  • Have programming skills needed for both the computational aspects of big data as well as working with statistical models (e.g., complex SQL scripts, distributed computing, analysis using Jupyter Notebooks)
  • Experience programming in Python, R, Java and/or C++
  • Proficient with Business Intelligence (BI) tools (e.g., Tableau, PowerBI)
  • Experience with cloud computing tools such as Data Bricks (or similar) for AI/ML
  • Familiarity with cloud data stores; both SQL and no-SQL (Hadoop, Hive, Azure SQL, Cosmos, Snowflake)
  • Experience analyzing large scale datasets across finance, marketing, distribution, and product data
  • Experience with model governance processes and building documentation to demonstrate model effectiveness to internal and external regulators
  • Experience partnering and managing offshore analytics and data science teams

 

Nice to have skills

 

  • Self-motivated, driven and solution-oriented mindset, with a proven track record of execution
  • Proven ability to summarize key information and presenting recommendations to multiple stakeholders to influence senior management and non-technical audiences
  • Have a demonstrated history of execution excellence and help drive prioritization and negotiation across the user-base to identify and deliver on high impact initiatives
  • Stay abreast of advances in AI, and data science techniques (e.g., decision trees, linear/ multinomial logistic/ridge regressions, collinearity analysis (VIF), machine learning, string similarity, behavioral analytics, look-a-like models)

 

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.

#LI-MM1, #LI-Hybrid

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).

 

All applicants must be willing to comply with the provisions of Janus Henderson 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. Janus Henderson is an equal opportunity /Affirmative Action 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.

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