Invesco
India
Investment Banking & Asset Management
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)
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