CV General Concise

S. MURAT CAKIR Email: earloflondon@gmail.com Central Bank of the Republic of Turkey Structural Economic Research Department Ankara, Turkey Phone: +90 505 726 2022 LinkedIn: /murat-cakir-422b804/ 

PROFILE 

Seasoned multidisciplinary DM&ML field expert and research analyst highly driven by the exciting nature of hands on exhaustive data analysis, having dealt with primarily accounting, finance and economics data and statistics for over 20 years. Holds insatiable desire and controlled grit for learning new knowledge technologies. Proven track record of innumerable studies covering different disciplines including reports, notes, analyses, statistics and research for internal use, in policy-making and informing the public. Designed, managed and implemented projects that are still being in use in situ and/or inspired various others utilized elsewhere. Bringing forth the ability to approach the issues with a polymathic and systemic mindset to offer the incumbents the best products and services. 

PROFESSIONAL SUMMARY 

Design, Programming and Database Management Project Development: Originated the 2nd generation platform idea. Co-developed its conceptual design with IT. Independently designed the 3rd generation platform. 

IT Collaboration: Collaborated on online report dissemination and website servicing. Led analysis efforts with IT project groups. 

Database Management: Created and managed sub-databases. Ensured data integrity and consistency. 

Data Analysis and Reporting: Conducted diverse analyses. Managed data processing and report generation. 

Automation Projects: Contributed to automation initiatives. Designed system analysis pseudo-codes. Overall, your role seems to have been crucial in the development, management, and improvement of analytical platforms and processes within your organization, with a focus on integrating technology with data analysis for informed decision-making. 

Data Management Data Integrity: Ensure accuracy and consistency of raw and processed data. 

Financial Data Processing: Gather, correct, and process financial data from banks and firms. Public Financial Data Compilation: Collect and rectify financial information from public sources. Data Correction and Organization: Rectify errors and organize data systematically. 

Firm Categorization: Categorize firms based on various criteria. 

Software Application Usage: Utilize specialized software for data collation and analysis. 

Database Management: Transfer processed data, maintain integrity, and generate reports. Overall, your responsibilities encompass a wide range of tasks related to data management, financial analysis, and decision support within the financial and industrial sectors 

Analysis, Reporting, Data Dissemination and Publishing Financial Statement Analysis: Analyze aggregated financial statements statistically and dynamically for manufacturing and services sectors. Conduct detailed financial analysis for individual firms, evaluating performance and trends. 

Report Preparation: Prepare electronic and printed financial reports for online and offline distribution. Generate standard and ad-hoc reports for senior management, stakeholders, and the public. 

Sector-Based Data Analysis: Analyze sector-specific data to identify trends and opportunities. Produce reports for academic research and public consumption on sector performance. 

Management Reporting: Provide standard and ad-hoc reports to upper management. Present key financial metrics and insights to support decision-making. 

Firm and Sector Analysis: Conduct comprehensive analysis of firms within manufacturing and services sectors. Prepare reports on financial health, competitive positioning, and strategic outlook. 

Academic Research and Consultancy and Teaching and Tutoring General and Other Efficiency Enhancement: Improved report quality and efficiency through automation. Provided feedback on financial stability and policy framework. 

Research Activity Enhancement: Boosted departmental research activities and developed original project ideas. 

Data Analysis and Modeling: Utilized data mining and machine learning for financial system assessment. Developed quantitative methods for analysis. 

Project Management: Guided project teams and organized testing procedures effectively.

Database Management: Prepared and maintained database libraries for streamlined data management.

Platform Management Documentation: Created and updated manuals and Wiki pages for online platform management.   

Team Management: Directed teams of 5 to 10 members, resolving key project issues and improving performance and fund utilization. Mentored staff to enhance task leaders and assistants' performance. 

Data Management and Analysis: Provided tutorials on data management techniques and offered technical recommendations. Conducted thorough data validation and presented models for business team review. Utilized exploratory data analysis to identify patterns and trends. 

Project Coordination and Client Interaction: Coordinated with external companies for data integration and acted as the primary client contact. Managed financial, sectoral, and economic analysis projects, introducing significant improvements. Interacted with the community to coordinate country assistance programs. 

Automation and Process Improvement: Implemented automation to streamline processes and increase productivity. Introduced improvements in research systems for enhanced resource management. 

Report Generation and Stakeholder Engagement: Created reports and statistical analyses, providing a framework for evaluating techniques. Collaborated with stakeholders to identify process improvement opportunities and external data sources. 

Leadership and Initiative: Spearheaded the innovative [Project Name], from inception to Board presentation, pioneering a unique initiative. Successfully advocated for transitioning from [Previous Program] to [New Program], resulting in widespread implementation. 

Project Management: Oversaw project design, regulation, and daily management. Analyzed business performance, developed workflow diagrams, and ensured projects were completed on time and within budget. 

Business Analysis and Financial Reporting: Provided guidance to junior analysts and conducted impact analysis of technology changes. Generated financial statements, including cash flow charts and balance sheets, for sectors and overall. Conducted proprietary risk analyses and prepared routine and ad-hoc reports for upper management. 

Budgeting and Forecasting: Produced various financial reports, budgets, and forecasts, ensuring accuracy and alignment with business goals. 

Work Experience Roles and Responsibilities: Managed design, programming, database management, analysis, reporting, and team membership across various reports. Oversaw team efforts and organized work streams, leading and guiding project groups. 

Project Management: Led and organized multiple project and work groups, both domestically and internationally. Represented the organization in meetings and made presentations at various forums. 

Reporting and Presentation: Prepared ad-hoc reports and technical notes for upper management, academia, and the public. Presented findings to stakeholders at meetings and workshops. 

Automation and Productivity: Implemented automation to enhance productivity, reducing manpower needs and minimizing errors. 

Projects Portfolio Efficiency and Quality Enhancement: Improved efficiency and report quality through automation. Provided feedback on financial stability and policy frameworks. 

Project Development: Conceived original project ideas and designed conceptual frameworks. 

Analytical Methods and Management: Applied analytical methods and developed proprietary quantitative techniques. Managed project teams and organized project tests. 

Database and Platform Management: Prepared database libraries and maintained online platform management manuals and Wiki Pages. 

General and Other Team Oversight and Planning: Supervised teams across various levels. Organized work streams for different groups. 

Leadership and Collaboration: Led and guided multiple project groups. Held positions such as Information Security Group correspondent. 

External Collaboration and Representation: Collaborated with the Ministry of Finance. Represented the organization at meetings. 

Contributions to Reports and Publications: Contributed to the Financial Stability Report. Analyzed data dissemination methods and prepared reports. 

Manual Preparation: Authored the "Statistics, Data, and Database Management Manual." 

EXPERIENCE 

Sep, 2017 - Present Seasoned Expert and Research Analyst Central Bank of the Republic of Turkey - Structural Research 

Mar, 2014 - Sep, 2017 Experienced Expert Central Bank of the Republic of Turkey – Statistics

Feb, 2006 - Feb, 2014 Senior Specialist Central Bank of the Republic of Turkey – Statistics 

Oct, 2001 - Feb, 2006 Specialist Central Bank of the Republic of Turkey – Statistics 

Oct, 2001 - Feb, 2006 Officer Central Bank of the Republic of Turkey 

–Statistics Professional experience in data analysis, including collection, compilation, and dissemination of statistical data. Proficiency in applying and/or developing quantitative research methods in compliance with standard statistical principles. Skilled in using statistical software packages such as STATA and R as required. Experience in managing international statistical databases and producing statistical data at the international level. Familiarity with developing methodological statistical standards to ensure data quality and consistency. Experience in project management and evidence-based policy formulation. Capable of providing education and training to colleagues as part of personal development strategies. 

#4 SKILLS Microsoft Office (Advanced Proficiency) | SAP | TRS | LARS | LMS | Adobe Acrobat | SharePoint 

EDUCATION 

Sep, 2000 Oct, 2001 MSc in Finance - Bayes Business School, City, University of London Sep, 1997 Jan, 1999 Special Studies in Economics (Master Level) - Middle East Technical University Sep, 1991 Jul, 1996 BSc in Management - Middle East Technical University Computing and Analysis Skills, and 

Certificates Computing Skills: 

Office Productivity Tools: MS Office 2019 (Excel & VBA, Word, PowerPoint, Access), MS Power BI, Power Pivot, Report Builder Database Querying and Reporting: Business Objects Web Intelligence, MS Query, Oracle 

Business Intelligence, SAS Enterprise Guide, PostgreSQL Data Analytics and Visualization: Tableau, MS Power BI, MS Power Pivot, Google Data Studio 

Data Analysis and Statistics: SAS Base, MATLAB, R, Python Statistics and Econometrics: MATLAB, WinRATS, STATA 

Programming Languages: VBA, R, Python, JavaScript 

Data Mining, Machine Learning, and Data Science: WEKA, KNIME, MOA, ADAMS, MEKA, Google Colab 

Network Analysis: NodeXL, Gephi 

Computing Certificates 

Data Science, Data Analysis and Analytics 

• The Data Science Course 2022: Complete Data Science Bootcamp (UDEMY) 

• The Data Analyst Course: Complete Data Analyst Bootcamp 2022 (UDEMY) • The Complete SQL Bootcamp 2022: Go from Zero to Hero (UDEMY) 

• Advanced SQL Bootcamp (UDEMY) 

• Statistics for Data Science and Business Analysis (UDEMY) • Data Science A-Z™: Real-Life Data Science Exercises Included (UDEMY) • Learning Python for Data Analysis and Visualization (UDEMY) 

• Introduction to Data Science in Python (DATACAMP) 

• Introduction to Accounting Data Analytics and Visualization (COURSERA) 

• Accounting Data Analytics with Python (COURSERA) • Data Manipulation at Scale: Systems and Algorithms (COURSERA) 

• R Programming (COURSERA) Data Mining and Machine Learning 

• Data Analyzing and Machine Learning Hands-on with KNIME (UDEMY) • Machine Learning, Data Science and Deep Learning with Python (UDEMY) 

• Python for Data Science and Machine Learning Bootcamp (UDEMY) 

• Machine Learning A-Z™: Hands-On Python & R in Data Science (UDEMY) 

• Data Mining for Business in Python (UDEMY) 

• Professional Certificate in Data Mining & Machine Learning (UDEMY) • Data Mining with R: Go from Beginner to Advanced (UDEMY) • Data Mining with Weka (FUTURELEARN) – Introductory / Certified • More Data Mining with Weka (FUTURELEARN) – Intermediate • Advanced Mining with Weka (FUTURELEARN) – Advanced • Machine Learning for Accounting with Python (COURSERA) • Applied Text Mining in Python (COURSERA) • Applied Machine Learning in Python (COURSERA)

BoE - Lead Data Analyst in Current Economic Conditions Division

Lead Data Analyst in Current Economic Conditions Division Monetary Analysis (MA) provides the core analytic support that underpins the setting of Bank Rate each month by the Monetary Policy Committee (MPC) to meet its inflation target. Department Overview Current Economic Conditions Division (CECD) provides the MPC with assessments of the current state of UK economic activity and inflation, the near-term outlook, and the uncertainties around this view. This is typically some of the most central information in the monetary policy debate. We do this by analysing a wide array of official data, surveys and other information. We maintain and develop state-of-the-art econometric models to produce short-term forecasts and interpret current economic developments. And we draw these materials together to form an overall picture and highlight important developments for UK monetary policy. In response to both new challenges and new opportunities for our data analysis, we are looking to enhance our data capability and analytical infrastructure along several dimensions, with this Lead Data Analyst role sitting at the heart of that. We are a division of around 25 people with a range of backgrounds and experiences. Job description We are recruiting a Lead Data Analyst to join the Division at an exciting juncture, as we gear up to enhance our analytical infrastructure. The successful applicant would be part of a newly formed function in the division, and therefore play a pivotal role in helping to set the blueprint for the work. The exact nature of this role can be tailored to the interests of the successful candidate. Although three broad areas in which we would expect to make progress are: 1) opening up new avenues for analysis using modern methods, for example improving our micro-data manipulation capabilities, or applying machine-learning methods to forecasting and other problems; 2) increasing the impact and reach of our analysis, for example by developing new data visualisations, dashboards, etc; and 3) helping to make our analytical and modelling processes more efficient and robust through greater use of automation, more sophisticated coding, etc. As a Lead Data Analyst in CECD, you will be at the centre of scoping out the exciting possibilities and setting out a strategy for this new function, in collaboration with our group of Senior Economists and Leadership Team. In your day-to-day you will be expected to take the lead on development work and deliver on a range of outputs, working with colleagues from across the Division, but potentially also beyond, for example with experienced Data Scientists sitting in the Bank’s Advanced Analytics Directorate. You do not need prior knowledge of economics. We think you can learn what you need to help guide and maximise the impact of your work in the role, provided you have a good quantitative background. In case of interest, this role will also provide plenty of opportunity to develop deeper economic expertise, for example by getting involved in more specialist analytical or model development projects, in close collaboration with our experienced teams of Economists and Researchers. Monetary Analysis is fully committed to having a diverse and inclusive working environment. These roles can be done as part of a job share and/or with flexible working. Role Requirements If you believe you have the skills to help us make progress in some or all of the three key areas listed above, whatever your background, we welcome your application; please do not be put off from applying if you do not strictly meet all the criteria in the below. As a general guide though, we would expect the successful applicant to have: Essential Requirements a postgraduate qualification in a quantitative subject, for example data science, other STEM degrees or economics/finance, or an equivalent level of work experience. delivered projects or work that rely on coding in popular modern languages such as R or Python. ability to produce high-quality analysis to tight deadlines. Excellent time management and organisational skills. Desirable Requirements a few years of relevant work experience undertaking analysis of large or complex data sets/databases. excellent data manipulation and ‘dataviz’ skills, as well as knowledge of modern data science methods such as machine learning. flexibility to deploy these skills in a potentially less familiar context, and the imagination to help us find innovative use cases. interest in learning about the UK economy and helping the Division provide high quality analysis to the Monetary Policy Committee. Core Values Integrity is one of the Seven Principles of Public Life. Our personal interests should never influence our decisions at work. We must be free of any suggestion of inappropriate influence. Selflessness, objectivity and impartiality are a core part of our Bank values. We strive to be objective in our decision-making and decisive in our actions. We take pride in the quality and the impartiality of our analysis and research. We engage with others professionally and make decisions fairly and on merit, using the best evidence available. We know that our reputation for impartiality and independence is vital to our effectiveness and, if lost, would be hard to recover.

EIB Job Apllication - (Senior) Data Management Officer (Luxembourg)

This is a full time temporary position at grade 5/6. The term of this contract will be 2 years. *internal benchmark: (Senior) Officer Portfolio Management Panel interviews are anticipated for beginning of April 2024. PURPOSE The purpose of the role is to oversee data management initiatives related to the role of a data owner for signed/disbursed exposures, driving precision in data operations, spearheading enhancements to data structures, and shaping comprehensive data and business rules, ultimately advancing the Bank's mission of ensuring superior data quality and robust governance practices. The Joint Middle Office (JMO) sits between the Operations (OPS) EIB Global (GLO) and Portfolio Management and Monitoring (PMM) directorates. Under the 3LoD, OPS and PMM constitute the core of the First Line of Defence, whose job it is to assess and manage all risks inherent to our client-facing activity. The JMO centralises the middle office activities previously carried out within OPS/GLO (e.g. disbursements and allocations) and PMM (e.g. post-disbursement events, portfolio-monitoring support, know your customer (KYC) checks). It has a functional reporting line to both directorates. PMM/JMO/EP&MS division is part of the Joint Middle Office department and is currently composed of 3 units: Portfolio Monitoring Support and Guarantee calling unit (PMS&GC), Arrears, Collaterals and Covenants (ACC) and Events processing Unit (EP). This particular position will be allocated to the PMS&GC unit and is expected to perform operational activities in the area of data management assuming the role of data owner for signed/disbursed exposures. This role is accountable for the aforementioned dataset and has the capacity to ensure data are managed correctly (i.e. is accountable for the business logic of the data calculation and proposes changes to the data structure). Data owner is also in charge of the definition of the data and related business rules as well as steering the quality of the data and related data management and governance activities. In this context, this role is also expected to manage ad-hoc transversal/cross divisional projects. OPERATING NETWORK As a (Senior) Data Management Officer you will report to the Head of the PMS&GC Unit. You will have regular contact with colleagues within Portfolio Management and Monitoring Directorate as well as in other Directorates, notably with the Group Data Office and IT Services within the Group Corporate Services Directorate, the Group Risk & Compliance Directorate, the Operations Directorate, EIB Global, Financial Control, the Finance Directorate and the General Secretariat Directorate. ACCOUNTABILITIES Acquire in-depth knowledge of the Bank’s lending portfolios and products; (incl. some specific products such as quasi-equities, full/partial delegation linked/de-linked risk sharing, indexed linked loans, loans with capitalisation parameters etc.); advise on exposure data topics in relation to newly proposed products. Review and regularly maintain/update exposure data inventory and catalogue. This is a catalogue of the various exposure data categories and underlying data of which they are composed/which are collected (along with metadata about each data, such as data source) and the calculation logic (incl. proposing changes to the data structure, e.g. in relation to deployment of new products, etc.). Establish rules and procedures for exposure data management, including data access, data quality controls, and audit change log. Communicate with stakeholders on exposure data usage guidelines and best practices. Provide support to other Services to pick the right exposure data set for their respective needs by providing explanations on how respective exposure data sets are calculated on how exposure should be displayed in front office systems (e.g. Serapis). Assume the lead on User Acceptance Tests (regression testing) in new projects in or upgrades of systems etc. to ensure that data collection works as previously. Manage rules for storing the exposure data, e.g. access controls, procedures for archiving (data backup, versioning, retention etc.). Prepare an exposure data management plan for execution of detailed data analysis and control processes. Prepare tools that will be used to analyse exposure data, designed to communicate key findings and insights from the data in a clear and easy-to-understand format. Review the EOM exposure data reconciliation across relevant systems (regular and continuous monitoring of data quality). Continuously adjust the data quality controls based on newly identified issues as well as new product/mandate/system developments etc. Identify and contribute to resolution of exceptions/DQ issues. Contribute to the Group Exposure definition (in context of BSBC239), in liaison with DGO. Conduct regular reviews of data management processes and policies to identify areas for improvement. Support the Head of Unit in execution of other day-to-day operational tasks of the unit upon request. Encourage information and knowledge sharing and promoting data quality within the Bank. Ensure overall quality of the data output, and minimization of operational risks. Constant review of processes and proposing adaptations, with a view to ensuring streamlining. Management of or contribution to transversal projects linked to development of existing/new processes. QUALIFICATIONS University degree (minimum an equivalent to a Bachelor), preferably in finance, business analytics or data science, economics, or information management/information systems. At least 5 years of relevant professional experience in data management, ideally in the field of banking or finance. Knowledge of MS office tools, in particular Excel (ideally incl. VBA), PowerPoint, knowledge of SQL and data virtualisation tools (e.g. Denodo). Understanding of the EIB mission and activities as well as the operating and political framework in which the Bank operates. Knowledge of the Bank’s lending products and mandates, exposure to new products, good knowledge and/or previous experience with administration of some specific products (such as quasi-equities, risk sharing etc.), would be considered an advantage. Knowledge of EIB processes and procedures related to the administration, control and monitoring of lending operations would be an asset. Knowledge of IT applications supporting lending operations in EIB e.g. CLM, Serapis would be an advantage. Fluency in English and a good command of French** is required. Another EU language would be an advantage. COMPETENCIES Your core competencies at the EIB: Achievement Drive: You continually keep an eye on performance, focus on improving it, show drive and determination to meet short and long-term goals. Change Orientation: You adapt to differences and changes in the environment; you take a flexible approach to reach outcomes. Collaboration: You work cooperatively as part of a team and collaboratively with peers across organisational boundaries based on a genuine interest in and an accurate understanding of others and your individual perspectives and concerns. Organisational Commitment: You are willing to commit to an organisation whose mission is to support Europe and is open to diversity, and to align your own behaviour with the organisation’s needs and intrinsic values, acting with integrity in ways that promote the organisation’s mission, policies and rules. Your managerial competencies at the EIB: Developing Others: You build the long-term capability of others by guiding and developing them to make the most of their competence and potential, based on an accurate understanding of their true strengths and development needs. Strategic Thinking: You think about the long-term organisation strategy and how to align to and implement it; you come up with useful new strategic insights. Team Leadership: You build a high-performing team, ensuring it is focused, motivated and inspired to achieve organisational objectives; you encourage performance excellence and address underperformance when required. Apllıcatıon - QUALIFICATIONS MOTIVATION LETTER AND OPEN QUESTIONS WHAT’S YOUR EXPERTISE LEVEL IN EXCEL. (BASIC, GOOD, VERY GOOD, PROFICIENT). PROFICIENT PLEASE MENTION DATA VISUALIZATION TOOLS YOU HAVE EXPERIENCE WITH AND WHAT’S YOUR LEVEL OF EXPERTISE IN EACH OF THEM (BASIC, GOOD, VERY GOOD, PROFICIENT). WHAT’S YOUR EXPERTISE LEVEL IN SQL. (BASIC, GOOD, VERY GOOD, PROFICIENT). VERY GOOD PLEASE EXPLAIN, IN MAXIMUM 5000 CHARACTERS (ABOUT 700 WORDS), YOUR MOTIVATION / REASON FOR APPLYING FOR THIS POSITION. Dear Hiring Committee, I am writing to express my sincere interest in the (Senior) Data Management Officer position at the European Investment Bank (EIB). With over two decades of comprehensive experience in multidisciplinary data management and machine learning, coupled with an unwavering commitment to excellence, I am eager to contribute to the EIB's esteemed mission while aligning with its core values. Throughout my extensive career, I have demonstrated a relentless dedication to exhaustive data analysis, particularly within the realms of accounting, finance, and economics. My portfolio boasts numerous studies covering diverse disciplines, yielding reports, analyses, statistical findings, and research pivotal in informing internal decision-making processes, shaping policy frameworks, and disseminating crucial information to the public. Over the years, I have played a pivotal role in the design, development, and successful implementation of innovative projects aimed at enhancing operational efficiency and facilitating informed decision-making. Notably, I spearheaded the conceptualization and realization of cutting-edge analytical platforms, collaborating closely with IT teams to ensure seamless integration and functionality. My ability to adapt to dynamic environments and embrace change has been instrumental in driving continuous improvement in analytical processes and platforms. In addition to my technical prowess, I possess a strong aptitude for leadership and collaboration. As a seasoned team leader, I have demonstrated an adept ability to foster a culture of excellence and accountability, guiding teams towards the achievement of organizational objectives. My collaborative approach, coupled with effective communication skills, has enabled me to leverage the diverse perspectives of team members to drive innovation and achieve optimal outcomes. Furthermore, my commitment to organizational values and mission alignment is unwavering. I am deeply passionate about supporting Europe's development and promoting diversity and inclusion within the organizational framework. My track record of delivering high-quality results while upholding integrity and professionalism aligns seamlessly with the values upheld by the EIB. In summary, I am excited about the opportunity to contribute my expertise to the core of data management at the EIB. With a proven track record of success, a strong commitment to excellence, and a collaborative mindset, I am confident in my ability to make meaningful contributions to the EIB's continued success. Thank you for considering my application. I look forward to the opportunity to further discuss how my qualifications and experiences can contribute to the strategic objectives of the EIB. Yours sincerely,