R0027048 Manager, Product Software Engineering - Data Analytics

Data Analytics- C11/C12/C13

Senior Vice President , Analytics Delivery Lead, Data Management

Lead Engineer

Data Information Management Senior Manager

Data Scientist

Commercial Intelligence Lead

SVP/Vice President, Credit Portfolio Senior Manager-Recruitment

Data Analyst

Business Analytics

Responsibilities: <ul><li>Manage and lead a team of enterprise data lake contributors consisting of data engineers and developers.&nbsp;</li><li>Hire and build the best engineering team, define the vision of the team.&nbsp;</li><li>Own end-to-end data lake solution from analysis to implementation.&nbsp;</li><li>Oversee the design and development of enterprise level datalake solutions.&nbsp;</li><li>Review existing business process and and drive to adhere industry standard and best practices.&nbsp;</li><li>Mentor and foster growth within the team and.&nbsp;</li><li>Drive excellence in engineering and operations agility.&nbsp;</li><li>Deliver data lake releases and partner with product owners, key stakeholders, report and application teams.&nbsp;</li><li>Lead the data engineering automation, governance and roadmap,&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Expert in designing and implementing of enterprise level data solutions within cloud environment (preferably in Azure).&nbsp;</li><li>Expert in analyzing, designing of relational and data warehouse solutions.&nbsp;</li><li>5+ years of engineering and resource management experience.&nbsp;</li><li>Proficient in data engineering with Azure Data Factory and Azure Databricks.&nbsp;</li><li>Proficient with Power BI, Azure Analytics Services&nbsp;</li><li>Experience with working with business stakeholders, requirements &amp; use case analysis.&nbsp;</li><li>Strong communication and collaboration skills with creative problem-solving skills.&nbsp;</li></ul> Preferred Qualification <ul><li>Bachelors degree in Computer Science or equivalent work experience.&nbsp;</li><li>Experience with Agile/Scrum methodology.&nbsp;</li><li>Azure Data Engineer certification a plus.&nbsp;</li><li>Experience with tax and accounting domain a plus.&nbsp;</li></ul>

Role Description: <ul><li>The Pooled Associate – Data Analytics will report to COE Super Sector Pod head for the sector and will work on multiple data analytics projects in collaboration with Global Super Sector Pod Head, COE Super Sector Pod Head, onshore Analysts, Mumbai Pooled and Dedicated Associates as well as Research Operations team such as Innovation Lab.&nbsp;&nbsp;</li></ul> Responsibilities: <ul><li>Translate business questions to data-driven analysis.</li><li>Participate in designing targeted solutions to identified business questions.</li><li>Load, manipulate and visualize data.</li><li>Collect, process and enrich data of different formats from multiple sources using a variety of technologies and platforms.</li><li>Analyze the data using various analytics models and tools.&nbsp;</li><li>Build models, draw insights, build and present reports, visual presentations which are tailored to different stakeholders.</li></ul> Requirements: <ul><li>Strong working knowledge of Excel and Advanced Excel including VBA.</li><li>Experience with Advanced data modelling – predictive models and machine learning algorithms, econometrics.&nbsp;</li><li>Scripting experience in Java, Python.</li><li>Strong working knowledge of SQL, ETL and data visualization/BI tools like Power BI/Tableau.</li><li>Exposure to Web scraping, Text analytics &amp; Survey analysis will be advantageous.</li></ul>

Job Scope: Analytics &amp; Information Management (AIM) group has a partnershipBelow is the vertical under that the role would lead a team for:<ul><li>Data Governance – the team works with the Data Governance Leads (DGL)&nbsp;and Data Stewards to measure the Critical Data Elements (CDE) as a part of Regulatory Commitments</li><li>The team is planned to go through a massive expansion in 2023 both in terms of scope of work as well as headcount increase</li><li>As the leader of this team, oversee the team expansion within tight timelines, come up with standardized &amp; measurable delivery frameworks and deliver on the business priorities for the year.</li><li>It is imperative for this leader to bring agility, consistency, speed of deployment, innovation and a governance process through centralized and extensive analytics driven framework</li><li>This is a highly visible &amp; challenging role, with direct impact on GCG Data Governance goals and commitments.</li></ul> What do we offer: Data Governance team would manage the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support: <ul><li>Regulatory Support: Creation and execution of business data quality measurements as per regulatory programs like CCAR, AML etc</li><li>Metrics Design: Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules&nbsp;</li><li>Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions. </li><li>Adapting of data governance tools and data management policy implementation</li><li>DQ Score cards: Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management</li><li>Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders and creation of plan for resolution as per SLA</li><li>Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion</li><li>Compliance: Creation of automation solutions and elimination of manual steps as per compliance standards</li></ul> Responsibilities: <ul><li>Work closely with Business Stakeholders to set the priorities for the team, convert those goals into actionable with a clearly defined delivery plan and outcomes.</li><li>Expand the team into a robust multi-site model (Bangalore and Chennai) with a thorough Continuity of Business (CoB) in place</li><li>Ensure all processes follow a standard technology-approved SDLC complaint methodology through the adoption of tools like JIRA and BitBucket</li><li>Expand scope of Data Quality as a discipline. </li><li>Partner with other AIM teams&nbsp;to expand scope of&nbsp;CDE measurement and increase usage of data quality certified CDE in critical processes</li><li>Ensure adherence to strict Project Management discipline through periodic reviews</li><li>Analyze and understand the Data Strategy at GCB. </li><li>Drive project reviews to ensure alignment with the Data Strategy. </li><li>This will include quickly learning details of multiple business processes especially concerning data usage and movement. </li><li>This also includes the ability to think laterally and flexibly to understand business needs and opportunities as compared to current state and discuss/brainstorm these situations with business and technology partners. </li><li>Must be able to break down complex problems, question assumptions and be comfortable making high impact decisions with limited information and some degree of uncertainty.</li><li>Ensure compliance with Data Management Policy. </li><li>Drive acceptance of data standards and policies in each assigned product and region</li><li>Responsible for comprehensive Data Governance for assigned product in a region. </li><li>Define policies, procedures, and processes for cleaning, mastering, governing, and documenting data for the assigned product in a region.</li><li>Review all data assets to identify Critical Data Elements (CDEs) and socialize these with the wider organization.</li><li> Implement controls, identify Trusted Sources, provide monitoring and build/review scorecards. Monitor key data management and governance metrics to ensure the accuracy and completeness of the critical data within their domain(s).</li><li>Profile the data and define appropriate data quality rules especially for critical attributes to ensure reliable data</li><li>Accountable to ensure that all US PBA data quality issues are addressed reliably and in a timely fashion as per processes. </li><li>Participate in root cause analysis, coordinate with stakeholders, facilitate communication across Business, Operations and Technology and assume responsibility for end to end resolution</li><li>Responsible for identifying and managing trusted sources of data sets while guiding users and application development to use them</li><li>Provide recommendations and supporting documentation for new or proposed data standards, business rules and policy</li><li>Provide advice on various projects and initiatives to ensure that any data related changes and dependencies are identified, communicated and managed to ensure adherence with the Data Governance established standards.</li><li>Drive creation of current state process maps beginning with transaction inception all the way through to management and regulatory reporting.</li><li>Drive the creation of target state process maps. </li><li>Identify all reference data and master data used or created within the processes, and confirm corresponding business controls.</li><li>Document data/system lineage and data tracing through all “hops” for each business process and coordinate with Technology to create corresponding Lineage toolset. </li><li>Manage technical metadata requirements and inputs related to Business CDEs and coordinate Lineage tasks and test activities between Business, Operations and Technology. Manage all Business Glossaries</li><li>Help identify the need for enterprise-level data standards based on strategic business objectives and the evolution of enterprise-level capabilities and analytical requirements</li><li>Collaborate across the organization to ensure consistent and effective execution of data governance and management principles across GCB analytical systems and data domains.</li><li>Drive alignment of Business/Operational Processes with firm wide Risk and Controls initiatives</li><li>Timely resource hiring and onboarding</li></ul> Requirements: <ul><li>MBA / Masters Degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications</li><li>(Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields</li><li>15+ years’ experience in areas of financial services technology, data governance &amp; delivery management</li><li>8+ years of experience in formal Data Governance within a global company; Strong data management background who understands data, data architecture, how to ingest data, process data, consume data, data quality, and stewardship.</li><li>8+ years of experience working in data management with Code mining, Data Mining, Visual data Lineage, System to system Lineage as Information Steward.</li><li>3+ years of experience leading/managing a large data team.</li><li>Extremely proficient in SQL queries, data analysis and profiling, data quality monitoring rules and data quality issues resolution. Experience in using a Data Visualization tool like Tableau a strong plus.</li><li>Must have excellent analytical and business skills</li><li>Strong knowledge and understanding of master data elements and processes per the necessary in-scope data domains, specifically Finance and Risk</li><li>Demonstrate a high level of motivation, strong work ethic and self-starting attitude with a bias for speed and execution</li><li>Demonstrate ability to lead and multi-task, problem-solve, make decisions and operate in a fast-paced environment.</li><li>Must be a collaborative person who listens effectively and invites response and discussion. Must possess good negotiation skills. Excellent organization skills and attention to detail</li><li>Must be able to exercise independent thinking and good judgment under all circumstances. Demonstrate versatility and a willingness to work with constantly changing priorities with enthusiasm.</li><li>Strong Communication Skills/Able to Persuade/Influence Others at all Organization Levels and the ability to foster lasting partnerships.</li></ul>

Role Description: <ul><li>Experienced Data Science &amp; Analytics professional. Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.).&nbsp;</li><li>Our client is seeking a Lead Engineer for Data Analytics and Machine Learning within the Systems &amp; Solutions Engineering organization.</li><li>This Lead Engineer role will have the responsibility to support the definition and execution of data analytics within Fire &amp; Security product lines.</li></ul> Responsibilities: <ul><li>Collect data from IoT platform, perform data quality check and filtering techniques</li><li>Organize large-scale data to the required formats for data analysis for different service business use cases.</li><li>Data mining using state-of-the-art methods</li><li>Selecting features, building and optimizing classifiers using machine learning techniques</li><li>Enhancing data collection procedures to include information that is relevant for building analytic systems</li><li>Develop tools of visualization and dashboard to illustrate the data analysis results.</li><li>Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, PTC, AWS etc.).</li><li>Support the development of end-to-end cloud-based analytics solution implementation</li></ul> Requirements: <ul><li>Excellent understanding of data mining, machine learning techniques and algorithms</li><li>Knowledge on statistical programming languages, including but not limited to R, Python, SLQ, etc., to process data and gain insights from it</li><li>Strong coding experience: C/C++, Python, Java, JavaScript, etc.</li></ul>

Job Role: <ul><li>The Client Remediation Issue Management Lead accomplishes results through the management of professional team that Integrates subject matter and industry expertise within a defined area.&nbsp;</li><li>Contributes to standards around which others will operate.&nbsp;</li><li>Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.&nbsp;</li><li>Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and Regulators.&nbsp;</li><li>Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise.&nbsp;</li><li>Involved in short-term planning resource planning.&nbsp;</li><li>Indirect responsibility of a cross-functional team to identify and validate client population analytics for issues requiring client remediation and remuneration.</li></ul> Responsibilities: <ul><li>Manage and drive the client remediation process ensuring alignment with Issue Management Procedure and Policy and US Consumer Remediation Procedure.</li><li>Ensure client remediation identified populations are accurate, complete, appropriate and well-documented in terms of data waterfalls, sources, flows, limitations and assumptions.</li><li>Work with Issue/CAP owner, subject matter experts, and other key stakeholders to outline requirements needed to identify impacted population</li><li>Perform maker-checker analysis and data validation.</li><li>Provide consistent Issue status communication to senior leaders in supported Lines of Business which includes applicable escalations.</li><li>Develops and supports analytical solutions for continuous auditing across a wide array of consumer products.</li><li>Support Issue Validation through requisite testing of data sets across multiple platforms, including SAS, SQL Server, Oracle and other databases for accuracy and applicability to internal audit testing and regulatory requirements.&nbsp;</li><li>Leverage communication and influencing skills to guide issue and corrective action plan owners and issue managers throughout the remediation issue management process.&nbsp;</li><li>Enable the Client Remediation and Issue Management teams so that their knowledge and confidence ensures successful results.</li><li>Display continued growth in leadership and coaching to be a quality contributor and point of contact for all areas of the business in identifying and escalating issues and making sound decisions based on facts and business knowledge, and delivering innovative decisions/solutions</li><li>Drive a culture of continuous improvement and efficiency within the Client Remediation team as well as with our involvement with our business partners. Improve speed and consistency in identifying and escalating Issues while maintaining accuracy and full mitigation.</li><li>Keeps abreast of the organization’s operational processes and best practices for business strategy.</li><li>Build partnerships with supported Line of Businesses Operations leaders, process owners, client experience leaders, analytic partners, control leaders, Legal, Compliance, Risk, Internal Audit and Training, so that efforts are aligned with strategy and department efforts, ensuring downstream impacts are considered and business solutions are optimized.</li><li>Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firms reputation and safeguarding, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.</li></ul> Requirements: Project Management and interpersonal skills: <ul><li>Strong Project Management skills with continuous effort to identify and overcome bottleneck.</li><li>Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form</li><li>Ability to build connections, promote ideas and work collaboratively across all levels of seniority and across boundaries</li><li>Well organized with excellent time management skills</li><li>Self-motivated, focused, detailed oriented and able to work efficiently to deadlines are essential</li><li>Lateral thinker, with ability to manage change and analytical ability to recognize areas of improvement</li><li>Ability to work with a high degree of autonomy</li><li>Confident, articulate and have a high degree of personal integrity</li><li>Presentations to both technical and non-technical personnel including Senior Management</li></ul>

Responsibilities: <ul><li>Collaborate and work closely with stakeholders to identify opportunities for leveraging data to drive business outcomes.</li><li>Perform exploratory data analysis to answer business questions and inform business decisions.</li><li>Design and develop the end-to-end workflows to productionize machine learning models and be involved in the entire data science lifecycle, including the formulation of use cases, extraction of data, development and maintenance of models and tracking and communication of results.</li></ul> Requirements: <ul><li>Degree in Computer Science, Machine Learning, Business Analytics, or similar quantitative discipline.</li><li>Fluency in one or more programming languages, such as Python, SQL and SAS.</li><li>3+ years of relevant experience in working with large and complex data sets and developing machines learning solutions, preferably on an enterprise data science platform such as CDSW.</li><li>Good foundational knowledge in statistical and advanced analytics concepts such as hypothesis testing, A/B testing, sampling, and evaluation metrics.</li><li>Familiarity with one or more BI and dashboarding tool such as Qlik, Power BI or Tableau.</li><li>Experience with deep learning frameworks such as TensorFlow / PyTorch and big data technologies such as Hadoop / Spark is an advantage.</li><li>Excellent data visualization and communication skills to present findings and insights to different stakeholders, including non-technical business users.</li><li>Proactive team player and curious about data.</li></ul>

Responsibilities: <ul><li>You will be responsible for the supervision of the Reporting Ecosystem and Database structure towards automatization.</li><li>&nbsp;In order to ensure companys performance, you will guarantee the team is able to deliver the markets requests of information through dashboards, regular presentations and ad-hoc analysis.</li><li>As Supervisor Commercial Intelligence you will proactively show issues and opportunities to Top Management, triggering action, as well as prepare the team to take advantage of more complex analytics; planning ahead the types of analysis and quality of data.</li></ul> Requirements: <ul><li>University Degree (preferably in Business and Economics, Management).</li><li>Master in Data Management is a plus.</li><li>Native or near native in Spanish and fluent in English (at least C1).</li><li>3-5 years of previous record in a Commercial/Business Intelligence or data department.</li><li>Experience with advanced Analytics, Power BI, SQL and Agile (basic Scrum) is a must.</li><li>Great skills managing a team, at least 1 year of experience (2 direct reports).</li><li>Understanding potential of Power BI to coordinate with Automation team and Analysts what to achieve with Dashboards.</li><li>Awareness of BI tables and raw data sources to be integrated in the future.</li><li>Understanding of the business including channels and activities that are currently in place.</li><li>Basic system development skills (any language, python is a plus)</li><li>Strategic thinking, strong analytical skills and fantastic interpersonal approach.</li><li>Valid EU work permit.</li><li>SnowFlake, AWS, Google Analytics and Jira knowledge is a plus</li></ul>

Responsibilities: <ul><li>Providing leadership and guidance to a team of analysts through day-to-day coaching and training on credit risk and industry analysis, our client policies and key processes.</li><li>Acting as first line of defense for quality control, ensuring overall work product of analysts are consistent with our client quality standards and adopt best practices.</li><li>Proactively managing the credit review process and workload allocation to allow timely delivery of credit approval packages.</li><li>Keeping up-to-date with respect to business/industry developments and apprising team and seniors of emerging issues for covered portfolio.</li><li>Ensuring sound understanding of covered portfolio, and initiating and leading industry/portfolio reviews and stress testing.</li><li>Developing and maintaining strong relationships with in-country partners, both in Risk and Business.</li><li>Hiring and onboarding of qualified staff to ensure seamless delivery of service.&nbsp;</li></ul> Requirements: <ul><li>CPA/CFA/Bachelors degree in a finance-related course least 5-8 years of experience in credit underwriting and analysis, preferably gained at financial institutions or public rating agenciesExcellent verbal and written communication skills</li><li>Strong knowledge of accounting, corporate finance, financial modeling, credit analytics, risk assessment and valuation</li><li>Knowledge of Corporate Banking environment and familiarity with credit and banking products is beneficial</li><li>Proven ability to manage a team and lead projects</li></ul>

As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line. Responsibilities: <ul><li>The Data Analyst is responsible for the delivery of reports through</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li><li>Contract for the one year</li></ul>

Job Role: <ul><li>The Specialized Analytics Manager provides full leadership and supervisory responsibility. Provides operational/service leadership and direction to team(s).&nbsp;</li><li>Applies in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. May contribute to the development of new techniques, models and plans within area of expertise.</li><li>&nbsp;Excellent communication and diplomacy skills are required. Generally has responsibility for volume, quality, timeliness of end results and shared responsibility for planning and budgets.&nbsp;</li><li>Work affects an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Full supervisory responsibility, ensuring motivation and development of team through professional leadership to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations as well as direction of daily tasks and responsibilities.</li></ul> Responsibilities: <ul><li>Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies</li><li>Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes</li><li>Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques</li><li>Incumbents in this role may often be referred to as Data Scientists</li><li>Specialization in marketing, risk, digital and AML fields possible</li><li>Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firms reputation and safeguarding company, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.</li></ul> Requirements: <ul><li>8- 14 years of experience</li><li>Ability to communicate technical information to both technical and non-technical audiences required</li><li>Problem solving, root cause analysis skills required</li><li>Ability to focus on multiple priorities and drive solutions in a fast paced working environment</li><li>Relevant work experience in data quality, data analytics, data management within the financial services industry required</li><li>Outstanding analytical and problem-solving skills</li><li>Bachelors/University degree or equivalent experience</li></ul>

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