data scientist

data scientist New York, NY

Janus Henderson Investors
Full Time New York, NY 130000 - 115000 USD ANNUAL Today
Job description

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
  • Assist in delivery of analytics and machine learning by analyzing drivers to understand the relative impact of opportunity, behaviors, and effectiveness to drive JHI’s strategy and, among other things, and streamline client reporting by using analytics and machine learning
  • Partner with all areas of the Enterprise to find 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 simple, consistent, and streamlined dashboards for leadership to identify key gaps in performance and mentor to stronger business outcomes
  • Develop effective 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
  • You will report to the Head of Data Science & Advanced Analytics and work closely on technical and implementation strategy
  • Carry out other duties as assigned

What to expect when you join our firm

  • Hybrid working and reasonable accommodations
  • Generous Holiday policies
  • 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
  • All-inclusive approach to Diversity, Equity and Inclusion
  • Maternal/paternal leave benefits and family services
  • Complimentary subscription to Headspace – the mindfulness app
  • Discounted membership to ClassPass and other health and well-being benefits
  • Unique employee events and programs including a 14er challenge
  • Complimentary beverages, snacks and all employee Happy Hours

Must have skills

  • Bachelors or Masters in mathematics, computer science, data science or other STEM fields with 1-2 years' experience
  • Background in data science that includes behavioral analytics, statistical analyses, and machine learning with experience in the financial services industry
  • Machine Learning expertise required
  • 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)
  • Proficient with Business Intelligence (BI) tools (e.g., Alteryx, PowerBI)
  • Experience with tools such as Data Bricks (or similar) for AI/ML, shell scripting is a plus)
  • Familiarity with cloud data stores; both SQL and no-SQL (Azure SQL, Cosmos, Snowflake)
  • Experience analyzing large scale datasets across marketing, distribution, and product data

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 modern data mining, quantitative research, 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)

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 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 [email protected].

Compensation information

The base salary range for this position is $115,000 - $130,000. This range is estimated for this role. Actual pay may be different.

#LI-SM1, #LI-Hybrid

Annual Bonus Opportunity: Position is 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. To learn more about our offerings please visit the Why Join Us section on the career page here.

Janus Henderson Investors 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.

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.

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.

data scientist
Janus Henderson Investors

http://janushenderson.com/careers
London, United Kingdom
Ali Dibadj
Unknown / Non-Applicable
1001 to 5000 Employees
Company - Public
Investment & Asset Management
2017
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