Job description
Why work for us?
Janus Henderson is a leading global active asset manager. We exist to help our clients achieve their long-term financial goals. Our team exemplifies our values of putting clients first, acting like owners and succeeding as a team. Our culture is high-energy, collaborative, and forward-thinking with opportunities to grow in an exciting career. We invite you to consider joining our dynamic, global team!
Our culture is the foundation for how we interact with clients and one another as part of our unique, people-focused work environment. We support a flexible hybrid working model that allows teams to build a strong and positive culture by inspiring innovation and increasing collaboration. Currently our hybrid working model allows employees to work 3 or more days in office and the remaining time remotely.
Employees and Managers will discuss and determine what schedule works best for them and the team, with additional flexibility available based on the role, business needs, and individual circumstances. JHI Workplace Practices is subject to change as the future of work within our organization evolves.
Your opportunity
- Build and lead a team of data scientists in the delivery of analytics and machine learning by analyzing drivers to understand the relative impact of opportunity, behaviors, and effectiveness to drive JHI’s distribution strategy and streamline client reporting by using analytics and machine learning.
- Find opportunities to build efficiencies of scale, reduce redundancies and risk associated with manual error and deliver creative solutions to the business
- Monitor market, role, and location-level performance to diagnose opportunities that inform practice management activities which improve our sales practices
- Deliver simple, consistent and streamlined dashboards for leadership to identify key gaps in performance and mentor for 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
- Bring thought leadership and drive programs to train non data scientists on effective analytics techniques
- You will report directly to the Global Head of Enterprise Data and work closely on technical and strategic direction
- 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
- Corporate 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
- Masters or PhD in mathematics, computer science, statistics, machine learning with over 7 years' experience in leading small-mid data science organizations required
- In-depth background in data science that includes behavioral analytics, statistical analyses, and machine learning with experience in the asset management industry
- Have a demonstrated history of building and managing world class teams of impactful data scientists
- 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)
- Have the expertise to right-size an analytical approach to the complexity of the problem
- Can think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives
- Proven ability to summarize key information and presenting recommendations to multiple stakeholders to influence senior management and non-technical audiences
- Expertise in asset management process-related data, with the ability to fluently communicate with investment management business professionals to gather and understand requirements and solve problems
- Knowledge and experience with some or all of the following data domains: client master, product/fund master, portfolio master, and distribution data
- Self-motivated, driven and solution-oriented, with a proven track record of execution
- Previously worked in asset management supporting business intelligence for distribution and /or investments across design and measurement (A/B test), multi-arm bandits, causal inference, forecasting, and prediction
- Machine Learning expertise required
Nice to have skills
- Deep Learning or Natural Language Processing experience a plus
- 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 Digital Analytics 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 with or exposure to enterprise data architecture and design
- Experience in data modeling
- Experience analyzing large scale datasets across marketing, distribution, and product data
- Excellent written and verbal communications skills
- Ability to build effective relationships at all levels of the business
- Lifelong learner with a growth mindset; stays abreast of cutting-edge techniques, perhaps participates in KDD/ Kaggle competitions for fun, and thrives on creative solutioning around imperfect datasets
Supervisory responsibilities
- Yes
Potential for growth
- Mentoring
- Leadership development programs
- Regular training
- Career development services
- Continuing education courses
Compensation information
The base salary range for thi sporitionis $180,000-$200,000.This range is estimated for this role. Actual pay may be different.
#LI-GS1, #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).
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