Translate business risks, controls and supporting data into analytic requirements and partners with colleagues to build effective analytics and insights Responsible for multiple simultaneous audit projects of all sizes and complexity across multiple business areas within and outside of local region, in unfamiliar areas, and for different audit leaders Link analytics and insights to ongoing strategic initiatives Apply proven/ advanced data algorithms, advanced analytic and modeling techniques to draw insights essential to driving improvement initiatives Leverage Machine Learning to learn and identify patterns, early warnings, predictions about aspects/ processes touching our customers, from the wide range of Operational, Customer behavior and other structured as well as unstructured data available to us Writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, etc. Prototype and simulate use cases for Advanced analytics, ongoing & proactive assessment of analytic results in partnership with relevant teams, leveraging data to tell compelling business stories, with a keen focus on impact & insights Extensively support other Managers/ team members with Subject matter expertise and process knowledge to help make insights extremely relevant and actionable for our business partners Significantly contribute towards adoption and application of cutting edge techniques and software paradigms (available internally & externally) by continuously learning, researching and experimenting Qualifications Master s degree in Analytics, Statistics, Operations Research, Computer science, Engineering, or other related fields with atleast 3-4 years of experience in the data and analytics Technical experience with analytic coding techniques, visualization tools and creating reporting dashboards Strong experience in Python environment and libraries (scikit, nltk, pandas and numpy). Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big data environment Hands on knowledge of SQL/ Hive QL, Visualization tools like Tableau, Power BI Experience with advanced analytic methods, such as machine learning, forecasting, cluster analysis, or pattern matching Track record of analyzing multiple sources of data to distill insights and drive business outcomes to help improve Customer Satisfaction Self-starter alongwith passion for continuous Innovation with a view to drive organizational improvements & impacts Excellent storytelling and visualization skills Extensive business process experience in the financial services industry, including an understanding of related products, services, features, economics and key regulations Aptitude for working with data, interpreting results, business intelligence and analytic best practices Ability to break-down a complex problem into components, solve them using data analysis, process knowledge and risk/control knowledge, and communicate data analysis, issues and control recommendations with transparency and integrity Strong written and verbal communication skills that deliver quality, actionable and beneficial feedback to management on potential control issues and solutions to close gaps Ability to lead and manage multiple projects and incorporate developmental feedback across deliverables Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities