Job Purpose (Job Summary):

• The Lead Modeler is an important role in the Hyderabad office of Invesco’s Insights & Analytics (I&A) organization, working across Invesco’s retail and institutional businesses in the Americas.
• Reporting to the Director Advanced Analytics, the role will help lead the Hyderabad’s Data Science team on the roadmap for client data and delivery of client intelligence.
• The end goal is to increase net sales of Invesco products through targeted sales and marketing activities based on data driven understanding of our clients.

The person will:

• Lead the analytical as well as cultural transformation of I&A’s Hyderabad Team along with the Sr Data Engineer
• Drive a hypothesis-driven approach to create client insights
• Build advanced predictive models to help optimize segmentation and targeting
• Work closely with colleagues in North America Distribution to ensure that insights and tools are leveraged to improve sales and marketing ROI
• Leverage learnings from current projects to define requirements for future analytical roadmap
• Demonstrate strong business acumen (e.g., comfortable dealing with ambiguity, demonstrates strong business judgment, outcome-oriented with demonstrated drive for results), and communication (demonstrated ability to synthesize insights, strong written/oral communications)

The Department: Insight and Analytics

• Insight and Analytics is responsible for increasing data driven decision making at Invesco.
• The group works mostly with the Americas Distribution and Marketing teams to help increase net sales through a better understanding of our clients (financial advisors).
• It works like a small startup within the organization, with a clear focus on improving effectiveness and efficiency through end-to-end management of data, analytics, visualization and in-field implementation.
• While the team is not new, there is a distinct focus on restructuring the talent through training and recruiting as well as redefining the vision and engagement model with the rest of the organization.
• In short, it’s an exciting place to be at for self-starters who want to set and own their paths forward.

Key Responsibilities / Duties:

Analytics:

• Maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics
• Collaborate with customer analytics and digital analytics experts to define and develop differentiating go to market analytics features and frameworks
• Work with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs
• Articulate and lead data sciences initiatives, using both directly managed resources and dedicated resources available in an agile project environment
• Provide ongoing monitoring of performance of decision systems and statistic models
• Define metrics on business outcomes (particularly those related to new capabilities) that are clear, accurate, relevant, logical and honest
• Exhibit strong problem-solving skills and the ability to work well in a team environment, prioritize work, analyze interdependencies and deliver against deadlines

Data Management:

• Partner with the Data team to optimize the cloud based aws / redshift environment in order to support an always on data sciences capability
• Help specify business and technical requirements for data ingestion, verification, scheduling, etc. across first party, second party and third-party data
• Help build out the data engineering and feature engineering capabilities required to support customer centric analytics and visualization
• Collaborate with business subject matter experts and IT teams to make strategic recommendations on data collection, integration and retention

Work Experience / Knowledge:

• 7+ years of hands-on experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting, preferable in a B to B or customer centric environment (extensive experience with financial transaction data is a plus)
• 3+ years of analytical project management experience
• Strong technical competence, with ability to teach / train associates:
• Deep practical expertise and theoretical understanding of Classification (SVM, nearest neighbors, random forest, etc.), Regression (linear, nonlinear, ridge, lasso, etc.), Clustering (k-means, spectral, etc.), Dimensionality Reduction (PCA, ICA, etc), Model selection (grid search, cross validation, etc.), Data Cleansing (pre-processing, feature extraction)
• Proficiency in statistical data analysis and data mining packages
• Advanced knowledge of data management tools
• Advanced programming skills
• Comfortable in using data visualization tools

Skills / Competencies/attributes:

• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
• Ability to effectively balance implementation of highly technical models in a sales environment
• Superior communication and influencing skills
• Ability to work in agile, test & learn, and iterative environment
• Strong organizational skills and detail orientation

Formal Education:

• Undergraduate or advanced degree in a quantitative discipline (i.e., Statistics, Mathematics, Econometrics, Operations Research, Computer Science) with focus on data sciences techniques
• Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear, Algebra, Calculus)