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Head of Data Science and Advanced Analytics

  • Location: New York
  • £ Salary: £180000.00 - £200000.00 per annum per year
  • Job Type:Permanent

Posted 9 months ago

  • Sector: United States
  • Contact: Haley Butler
  • Expiry Date: 01 April 2023
  • Job Ref: JN -022023-477486

This opportunity is for the Head of Data Science with our client, a leading global asset. It is based in New York City and will be onsite 3 days a week.

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 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

Potential for growth

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

Compensation information

The base salary range for this position $180,000-$200,000.