Analyzes and measures the incremental impact of investment
campaigns using statistical techniques -- ANOVA and ANCOVA. Builds
predictive models, using advanced statistical techniques and
machine learning algorithms. Develops business solutions through
data analytics and interactive visualizations to deliver strategic,
insightful, and actionable recommendations that assist in making
financial decisions for clients. Draws on in-depth knowledge of the
business of function to provide business-unit wide solutions. Owns
and drives analytics and Machine Learning (ML) initiatives across
Translates and incorporates business visions and strategy to ML
strategy recommendations at a functional level.
Works as a subject matter expert for Machine Learning (ML) and
advanced analytics within marketing measurement and analytics.
Serves as a consultative partner to stakeholders across
marketing, thought leadership, product, client management, and
Stays abreast of analytics best practices, macro-level trends,
and new tools in data analytics.
Develops and presents POVs and strategic recommendations to
maintain and advance the firms leadership in respective
Reports findings to senior executives.
Liaises with stakeholders to build and maintain marketing and
analytics database frameworks.
Performs multi-channel marketing attribution to understand the
importance of marketing channel in cross-channel marketing
Creates marketing experiments and measures specific
Consults on the development and delivery of major technology
initiatives for the business unit.
Sets vision, goals, and direction of team/organization.
Plans and leads organization-wide initiatives.
Regularly provides guidance, training, and coaching to other
team members for performance and development.
Provides leadership, technical supervision, and expertise to
multiple teams in broad technical areas on complex
Consults on deployment of major project deliverables.
Consults on the documentation of major technology
Oversees the technical implementation of cross-divisional or
company architectural components.
Influences colleagues and business stakeholders for the adoption
of analytics and ML.
Owns projects right from ideation to implementation.
Education and Experience:
Bachelors degree (or foreign education equivalent) in Computer
Science, Engineering, Information Technology, Information Systems,
Mathematics, Physics, or a closely related field and six (6) years
of experience in the job offered or six (6) years of experience
performing ad hoc data mining and predictive modeling to support
distribution strategies for customer relationship management (CRM)
within a financial services environment.
Or, alternatively, Masters degree (or foreign education
equivalent) in Computer Science, Engineering, Information
Technology, Information Systems, Mathematics, Physics, or a closely
related field and four (4) years of experience in the job offered
or four (4) years of experience performing ad hoc data mining and
predictive modeling to support distribution strategies for customer
relationship management (CRM) within a financial services
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (DE) performing marketing measurement and
analytics -- measuring incremental effect and lift of marketing
experiments and campaigns, using Oracle, SQL, R, Python, ANOVA, and
ANCOVA; and performing return on investment (ROI) analysis and
marketing campaigns within the financial services industry, using
statistical methods and hypothesis tests (T-test, A/B Testing,
ANOVA, and ANCOVA) and database and analytical tools (Oracle SQL,
R, and Python).
DE performing data analytics and storyboarding -- performing
exploratory data analysis and customer profiling and segmentation
-- mining one billion rows of on-and-offline clickstream data to
generate strategic insights and recommend financial products and
services to clients -- using Qlik Sense, Apache Hadoop, Hive,
Oracle, and SQL; and building interactive visualizations and
presentations, using database and visualization tools -- Qlik
Sense, Apache Hadoop, Hive, and Oracle SQL.
DE performing advanced statistical analytics to develop,
analyze, and evaluate supervised and unsupervised machine learning
algorithms and marketing attribution models -- regression, decision
trees/random forest, neural networks, feature selection/reduction,
clustering, treatment control matching, Markov Chains and Bayesian
Statistics -- using R, Python, and PySpark with specific use cases
and applications within the financial services industry.
DE driving analytics and machine learning initiatives --
providing leadership and technical supervision during the
implementation and deployment of major advanced analytics and
machine learning based projects within a financial services
environment; and owning and implementing advanced analytics and
machine learning based projects from ideation to implementation
including, providing guidance, training, and thought leadership
within a financial services environment.
For full job details and to apply, please visit
https://jobs.fidelity.com/ and search for job number: 2056450.