Financial Planning Analysts

Configuration Analyst

Aml/kyc Senior Associate

SVP/Vice President, Credit Portfolio Senior Manager-Recruitment

SWO Business Analyst (Product Owner) (gn)

Senior Manager - Human Resources Information System

Data Analytics- C11/C12/C13

Machine Learning Engineering Manager

AVP Financial Senior Analyst

Commercial Intelligence Lead

Responsibilities:: <ul><li>As a Financial Planning Analyst in the new CoE, you will embrace a huge challenge and responsibility:&nbsp;</li><li>First point of contact for the Market counterparts to integrate market business strategies into Operating Income</li><li>Simulations and scenarios (Price, Excise Tax, Share of Market, Consumer Acquisition and Volume) for decision-making.&nbsp;</li><li>As Power User of the Operating Income forecasting tool you will deliver high quality estimates.&nbsp;</li><li>You will provide markets services, based on a Service Level Agreement, with timely input and analysis delivery.&nbsp;</li><li>You will take initiative and participate in the process of continuous improvement, in collaboration with the System Governance team and Markets.&nbsp;</li><li>For this purpose, you will work closely with both internal and external partners supporting PMI affiliates with new analytics solutions at the&nbsp;</li><li>Same time you’ll be challenged to contribute with innovative ideas and work collaboratively not only with your team, but the entire organization.</li></ul> Requirements <ul><li>Degree in Management, Finance, Statistics, Economics, Mathematics, Business Analytics or similar;&nbsp;</li><li>Minimum 2 years of validated experience in analytical functions;&nbsp;</li><li>Business Development and Planning experience is a strong plus;&nbsp;</li><li>Strong numerical and analytical skills, including experience with developing and/or maintaining financial models;&nbsp;</li><li>Proficiency in MS Office and English language (spoken and written);</li><li>Good communication skills: strong ability to communicate complex scenarios in a simple way;&nbsp;</li><li>Customer satisfaction mindset: quality and timeliness of delivery.</li></ul>

Responsibilities: <ul><li>Receive data from ceding administrator’s system</li><li>Load data into a temporary database</li><li>Analyse data received alongside scheme documentation and map to our target database</li><li>Develop data reconciliations in SQL</li><li>Analyse, map and test interface data</li><li>Liaise with calc analysts to agree benefit tranches and structure</li><li>Configure base scheme and category set ups to match benefit structure of the scheme</li></ul> Requirements: <ul><li>Experience in delivering innovation</li><li>Experience in UK Pensions Data Analysis (DB or DC, with DB being preferable)</li><li>SQL skills sufficient to link tables for analysis and data updates</li><li>Good written and verbal communication&nbsp;</li><li>Experience in UK Pensions Data Analysis (DB or DC, with DB being preferable)</li><li>SQL skills sufficient to link tables for analysis and data updates</li><li>Good written and verbal communication&nbsp;</li></ul>

<ul><li>Perform quality reviews on KYC profiles based on the Anti-Money Laundering (AML) policies and internal Know-Your-Customer (KYC) procedures of the client.</li><li>Identify and document the results of the quality reviews and proposed remedial actions.</li><li>Participate in team discussions to provide feedback and recommendations in order to improve quality performance of the analysts on a regular basis.</li><li>Report/escalate any quality, production and system-related issues.</li><li>Reach the quality target and production target.</li><li>Provide clear feedback to analysts and coaching as needed.</li><li>Identify common errors encountered to assist training needs of analysts.</li><li>Discuss recently released guidance or changes in common approach during team huddles.</li><li>Work extensively with various teams across global locations to fulfill an entity&#8217;s KYC requirements as mandated by compliance and regulatory standards.</li><li>Liaise with projects SME, if needed.</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>

Business Analyst (Product Owner) (gn)Vollzeit, unbefristet, Standort: Leipzig, Berlin, Hamburg oder im Home-Office&nbsp;SoftwareONE ist ein weltweit führender Anbieter von End-to-End-Software und Cloud-Technologie-Lösungen. Wir begleiten unsere Kunden durch ihre kommerziellen, technologischen und digitalen Transformationen mit unseren IP- und technologiegetriebenen Services. Mit unserer umfangreichen fachlichen Expertise unterstützen wir sie bei der Modernisierung ihrer Anwendungen, der Cloud-Migration kritischer Workloads, der Optimierung ihrer Software- und Cloud-Assets sowie ihrer Lizenzierung.&nbsp;Für unsere Business Line Application Services ist die Entwicklung erstklassiger Softwarelösungen unsere Leidenschaft, dabei stehen für uns motivierte und gut ausgebildete Kolleginnen und Kollegen an erster Stelle. So sorgen wir für die Zufriedenheit unserer Kunden.&nbsp;Es gibt einen sicheren Weg, den Anforderungen unserer Kunden gerecht zu werden: sie bei agilen Softwareentwicklungsprojekten eng in das Anforderungsmanagement einzubeziehen, vorzugsweise als Product Owner. In manchen Fällen benötigen unsere Kunden Unterstützung, dann übernehmen wir das für sie und setzen dedizierte Business Analysts ein. Das Aufgabengebiet<ul><li> Du entwickelst ein umfassendes Verständnis der (für das Projekt relevanten) Geschäftsprozesse unserer Kunden, analysierst deren Anforderungen, stimmst Prioritäten ab und erstellst Lösungsvorschläge.</li><li>Du übernimmst Backlog-Pflege, -Priorisierung und -Grooming (Refinement) und stimmst dich eng mit den Entwicklerteams und dem Project Management zu Zielstellungen und Projektschritten ab.</li><li>Du unterstützt Kunden bei ihrer agilen Arbeitsweise sowie ihrem Backlog-management</li><li>Außerdem sorgst du für Dokumentation und internen Wissenstransfer zwischen unseren Business Analysts.</li></ul> Kenntnisse und Fähigkeiten<ul><li class="ql-align-justify"> Praktische Erfahrung im agilen Umfeld in der Rolle eines Product-Owners oder Proxy</li><li class="ql-align-justify">Methodische Branchenkenntnisse&nbsp;</li><li class="ql-align-justify">Kenntnisse in der Anforderungsbeschreibung, z.B. in Form von Use Cases, User Stories, UML, BPMN</li><li class="ql-align-justify">Erfahrung in Konflikt- und Krisenmanagement</li><li class="ql-align-justify">Analyse- und Recherchekompetenz</li><li class="ql-align-justify">Eine Zertifizierung (zum Beispiel nach IREB® oder BABOK®) ist wünschenswert, aber keine Bedingung</li><li class="ql-align-justify">Exzellente Kommunikations- und Teamfähigkeiten in Deutsch und Englisch</li></ul> Das haben wir zu bieten<ul><li> Ein&nbsp;Mentor&nbsp;(gn), der deinen erfolgreichen Start unterstützt und dir mit Rat und Tat zur Seite steht</li><li>Flexibles Arbeiten&nbsp;im Homeoffice oder an einem unserer Standorte</li><li>Wir vertrauen Dir -&nbsp;unsere Arbeitszeiten sind flexibel und werden nicht erfasst!</li><li>No Dresscode- zieh an, worin du dich wohlfühlst!</li><li>Kostenloser&nbsp;Englischunterricht&nbsp;während der Arbeitszeit</li><li>Nutze unsere&nbsp;Sportangebote&nbsp;oder fahr mit dem&nbsp;JobRad&nbsp;zur Arbeit.</li><li>Umfangreiche&nbsp;Mitarbeiterangebote&nbsp;und legendäre&nbsp;gemeinsame Events&nbsp;- wir feiern unsere Erfolge!</li></ul>

Overview: <ul><li>The Senior Manager, Global HRIS leads and develops a global team of HRIS professionals.</li><li>They will ensure services are delivered per Service Level Agreements (SLAs), projects are completed timely and the end-user experience is prioritized.</li></ul> Responsibilities: <ul><li>Manage day-to-day delivery operations of HRIS.</li><li>Select, train and develop HRIS delivery team.</li><li>Work closely with HRIS COE to ensure compliance.</li><li>Provides the necessary training to meet end users needs.</li><li>Develops, implements, and modifies software &amp; hardware requirements based on business requirements.</li><li>Work with business and vendors to identify system solutions to support business priorities and improved user experience.</li><li>Ensure system controls are in place and appropriately supported (per 404 SOX requirements).</li><li>Deliver financial commitments (annual budget and savings targets).</li><li>People Management: Manages a team of three Global HRIS Regional Managers, six Business Analysts, and two Associates directly that include Position Data Management manager.&nbsp;</li><li>Leads Global HRIS strategy through CoE collaboration. Responsible for Managers development, Training, coaching &amp; establishing SLA’s &amp; KPI’s for HRIS delivery.</li><li>HR Systems: Accountable for Global HR applications and systems including core HR, compensation, Application Tracking Systems, Performance, Role based security, Case Management, Reporting and analytics, payroll and time &amp; attendance integrations.&nbsp;</li><li>Evaluates and recommends HR systems and solutions, articulates the business case including cost analysis, ensure alignment with stakeholders and drive successful implementation and administration.</li><li>Represents HRIS Change Control and governance board to lead change management &amp; approvals for new projects and enhancements for HRIS.</li><li>Data Integrity: Establish HR data audit protocols with guidance from Internal Audit, and ensure that on-going audits of HR data in myHR occur on routine schedule.&nbsp;</li><li>Reporting &amp; Analysis: Assess needs, recommend, develop, prepare, and continuously improve HR reports and analytics to facilitate effective decision-making.</li><li>Drives overall HRIS Program Management that span approximately 200 projects, 140 enhancements from start to finish on a year-to-year basis.</li><li>Leads HRO &amp; Tier1 team by providing directions and training &amp; development that involve QRG’s/DTP’s for system processes.</li></ul> Requirements: <ul><li>Bachelor’s Degree in IT, Human Resources or Management preferred.</li><li>10+ years of work experience within in HRIS, HR, IT or Finance.</li><li>10+ years of experience with Success Factors, SAP HR, Workday or equivalent.</li><li>2-5 years project management experience with demonstrated success in leading people and projects.</li><li>Very Advanced Excel skills, including vbasic, macros, data slicers and advanced formulation.</li><li>Must be detail conscious and have strong analytical skills.</li></ul> Working Relationship: <ul><li>Reports to: Hire To Retire (HTR) Global Process Delivery Lead (GBS).</li><li>Supervises to: Direct reports - 3 Managers &amp; 5 Business Analysts.</li><li>Peer Relationships: Works closely with HRIS COE, Global and Region HTR leads and HRO Team.</li><li>Key contacts (Internal &amp; External): Business Leaders, COEs, IT, HRDs and Vendors.</li></ul> Work Environment: <ul><li>Work is performed in an open office setting.</li><li>As a global role, Senior Manager, HRIS is expected to be available as needed to manage a “follow the sun” team schedule.</li><li>Role requires travel up to 15% to Romania, Mexico, India and US.</li></ul> Dimension: <ul><li>Performance will be evaluated at the individual and team level based on selected metrics and identified goals.</li><li>Works in close partnership with Information Technology team.</li><li>Leads 16-20 global professionals across all regions.</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>

Role: <ul><li>Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals.</li><li>Collaborate with product owners, data scientists &amp; analysts to identify innovative &amp; optimal machine learning solutions that leverage data to meet business goals.</li><li>Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework.</li><li>Scale the proven ML use-cases across the SAPMENA region.</li><li>Be responsible for optimal ML costs.</li></ul> Responsibilities: <ul><li>Deep understanding of business/functional needs, problem statements and objectives/success criteria</li><li>Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into machine learning problem statements and specific deliverables</li><li>Act as the ‘Conduit’ between product owners, data scientists, data analysts and data engineers to develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments</li><li>Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed</li><li>Act as ‘Owner’ of end-to-end machine learning systems and their scaling</li><li>Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving</li><li>Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX</li><li>Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs</li><li>Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops</li></ul>&nbsp;Requirements: <ul><li>Preferred education qualifications: Bachelor/ Masters degree in Computer Science OR Data Science OR Applied Mathematics OR related technical degree</li><li>Required experience: 8-10 Years</li><li>5+ years in developing and deploying enterprise-scale ML solutions</li><li>Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),</li><li>Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction, deep learning, and ensemble</li><li>Proven expertise in Scikit-learn, XGBoost, LightGBM, TensorFlow</li><li>Prior experience on MLOps with Kubeflow or TFX</li><li>Advanced programming skills with Python/R and SQL</li><li>Prior experience on Data Science &amp; ML Engineering in public clouds (such as Google Cloud, AWS, Azure)</li><li>Strong technical understanding of Data &amp; Analytics concepts</li><li>Google Cloud Platform certifications (Professional Machine Learning Engineer) will be a big plus</li><li>Experience in Retail/FMCG domain is preferred</li><li>Experience in training with large volume of data (&gt;100 GB)</li><li>Experience in delivering ML projects using Agile methodologies is preferred</li><li>Proven ability to effectively communicate technical concepts and results to technical &amp; business audiences in a comprehensive manner</li><li>Proven ability to work proactively and independently to address product requirements and design optimal solutions</li><li>Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team</li></ul>

Responsibilities: People Management and Leadership <ul><li>Strong team leadership characteristics, maintaining a clear structure of accountability.</li><li>Managing a team of analysts; including staffing, onboarding, performance assessment, career feedback and providing development opportunities.</li><li>Ability to influence regional and global asset class leads.</li><li>Able to communicate initiatives across the global VCG team.</li><li>Excellent project management skills, driving change and managing projects effectively.</li><li>Key player in setting the team’s direction, goals and objectives.</li><li>Leading and guiding the team in identifying valuation issues.</li><li>Constructively challenge Front Office valuations while building and maintaining these relationships.</li></ul> Requirements: <ul><li>Financial markets experience and products knowledge, including technical understanding of securities and derivatives are a plus</li><li>Strong working knowledge of Excel functions</li><li>Ability to develop an understanding of complex valuation concepts and effectively challenge peers</li><li>Good communication skills.</li></ul> Qualifications: <ul><li>Bachelor’s degree required in Finance, Accounting or other business-related field of study</li><li>3+ years of professional experience in Finance or related quantitative field</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>

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