Back to Job Search

Sr. Data Scientist

  • Location: New York
  • $ Salary: US$160000.00 - US$180000.00 per annum per year
  • Job Type:Permanent

Posted 4 months ago

  • Sector: Technology
  • Contact: Haley Butler
  • Expiry Date: 21 June 2023
  • Job Ref: JN -032023-477627

Our client is looking to bring on a Sr. Data Scientist in the New York area. This role will be onsite 3 days and remote 2 days.

Job Notes

Your opportunity

  • 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

  • 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

Candidate Skillset

  • Must have Asset Management experience
  • Masters or PhD in mathematics, computer science, statistics, machine learning with over 7 years' experience in leading small-mid data science organizations required
  • Someone technical but personable who is comfortable having strong conversations with business leaders.
  • Work to drive consensus & have the gusto