Deadline of this Job: 25 August 2022
Job Purpose:
The position holder is to lead analysis and modelling of NIHR Global Health Research Group on Vaccines for vulnerable people in Africa (VAnguard). Vaccines are extremely effective public health interventions, but not everyone benefits equally. Social, biological, geographical and political circumstances render some communities vulnerable, unable to secure optimal health benefits from vaccination programmes. This both drives health inequity and undermines wider vaccine impact by allowing persistence of nonimmune communities as foci for recurrent disease outbreaks. VAnguard’s goal is to identify modifiable structural, social and biological determinants of impaired vaccine impact in vulnerable African communities, and hence to develop integrated strategies to address them and to drive health equity. VAnguard brings together East African leaders in vaccine research, implementation and community engagement, with UK experts in vaccine biology and the social anthropology of vaccine hesitancy. Our specific objectives, in collaboration with national stakeholders and communities in Uganda and Kenya, are to
• Investigate biological drivers and mechanisms of population differences in vaccine response
• Understand how social and biological determinants of vaccine response interrelate to determine vaccine impact
• Identify and model integrated strategies to inform development of future interventions to optimize vaccine impact among vulnerable populations The statistician/modeller will lead a work package, collaborating with Ugandan, Kenyan and UK colleagues, to develop a comprehensive modelling framework, describing how biological, social and structural factors impact vaccine responses in different communities in Uganda and Kenya. S/he will participate in literature reviews to design and parameterize the model, and in the design and analysis of a further survey, exploring factors identified as relevant. S/he will then work with colleagues and communities to implement the model to identify possible intervention packages to improve vaccine benefits among populations at risk of poor vaccine impact.
Roles & Responsibilities
1. Principal duties;
• Take lead of the VAnguard analysis and modelling work package;
• Oversee literature review and analysis;
• Survey design and analysis;
• Model development and implementation;
• Lead and contribute to writing publications and reports;
• Presenting research findings at meetings; and,
• Working collaboratively in a multi-disciplinary and, multi-national team.
2. LSHTM integration;
• Working with the Statistics department at the MRC/UVRI and LSHTM UgandaResearch Unit, and with Professor Emily Webb, the post-holder will haveopportunities to participate in academic opportunities with the LSHTM-basedInternational Statistics and Epidemiology Group, including monthly group meetings.They will also be encouraged to join relevant LSHTM Centers, including the VaccinesCentre.
3. Environment;
• The post-holder will be based at the MRC/UVRI and LSHTM Uganda Research Unit inEntebbe, where the department currently supports 8 statisticians, and works with astrong data department of about 30 staff. S/he will work collaboratively with membersof the group from the Unit, from UVRI itself, from collaborating institutions in Uganda(Makerere, Uganda Christian University), in Kenya (KEMRI Wellcome Trust ResearchProgramme) and from the UK (LSHTM-London, University of Cambridge). Travel toKenya for meetings is expected.
Person Specification
• PhD in medical statistics, epidemiology or mathematical modelling, or related subject;
• MSc with an excellent track record of Statistics/modelling may be considered;
• Should possess a demonstrated aptitude for applied public health research;
• Relevant practical experience working as a statistician/modeler in a research setting;
• Contributions to written output, preferably peer-reviewed, as expected by the subject area in terms of types and volume of outputs;
• Experience of participation in collaborative multi-disciplinary research projects;
• Experience supervising and supporting junior researchers and/or research degreestudents;
• Experience designing epidemiological studies;
• Should be a proficient user of R and experience using R for statistical analyses andmathematical modelling;
• Knowledge of vaccines and immunization;
• Should possess proven ability to work independently, as well as collaboratively as part ofa research team;
• Evidence of excellent interpersonal skills, including the ability to communicate effectivelyboth orally and in writing; and,
• Evidence of good organizational skills, including effective time management.
FINCA Uganda is a subsidiary of FINCA Impact Finance and part of a network of 21 microfinance institutions and banks that provide socially responsible financial services that enable low – income individuals and communities to invest in the future. FINCA Uganda currently offers loans, savings and money transfer services in Uganda, one of the most competitive and dynamic microfinance markets in the world. FINCA is looking for a dynamic person to join their team of professionals as a Data Analyst. Details are highlighted as follows:
Job Title: Data Analyst
Duty Station: Head Office
Reports to: Head of Credit
Summary
The Data Analyst is responsible for collecting and analysing relevant data from a wide variety of sources to provide practical and meaningful data insight reports, which guide credit risk decision making and general management actions. He/She will support operational data analytics & insights, credit scoring and management reporting.
Main duties and responsibilities:
1. Sourcing data from various sources including SQL databases and CSV files.
2. Transforming and automating repetitive data tasks such as combining files.
3. Data modelling & data visualization to evaluate performance and trends, using interactive visuals and dashboards.
4. Statistical and predictive analysis to model uncertain scenarios.
5. Management and administration of credit scorecards and coordinating with the Global Credit Risk and Data Insights team for standardization of credit scoring and data analytics practices.
6. Credit Risk Scoring and segmentation to facilitate credit risk-based decision making and ensuring that monthly credit score lists are uploaded on the FINCA Scores and Decisions Repository.
7. Developing processes and procedures for integrating Credit scoring and risk-based pricing models into underwriting operations.
8. Obtaining feedback from branches on Credit Risk Scores and suggest improvements.
9. Training of Staff (Branches & Head Office) regarding Credit Risk Scoring processes and outcomes and basic excel analytics.
10. Providing solutions for queries from Branches and Head Office departments for Business and Data Insights Management Reporting.
11. Creating and maintaining regular and ad-hoc business operational reports, key risk indicators, among others.
12. Collecting credit risk related data and conducting analysis, segmentation, trending, forecasting and interpretation of risk management issues and concerns relevant to a portfolio of loan products using statistical techniques.
13. Supporting credit portfolio stress testing and scenario development.
14. Creating analytical datasets by performing exhaustive descriptive analysis, data cleansing and normalization, and investigation of business rules that create the data.
15. Developing systems and processes for gathering and storing data for future work and projects.
16. Developing new, improving current and automating processes & reports routinely utilized using statistical and data science techniques.
17. Validating IFRS9 Modelling Variables, Assumptions, MDQs and ECL outputs for accurate Loan Loss Provisions.
Competencies
To perform the job successfully, an individual should demonstrate the following competencies:
• Vintage Analysis Modelling.
• Credit Portfolio Stress Testing Modelling.
• Marketing Intelligence Analytics.
• Technical Understanding WPS Programming Environment.
• Conversant with Coding languages: SAS; SQL; Python; R, etc.
• Experience with Visualization Tools: Power Bi; Tableau, etc.
• Machine learning concepts to constantly improve automated decision making.
• Regression Analysis – Fundamentals & Practical Applications.
• Statistical and predictive analysis using code.
• Data transformation, modeling, and visualization.
• Well-developed inter-personal and communication skills
• Proactive and logical approach with attention to detail.
• Capable of performing under pressure and within time constraints.
• Self-motivated and ability to work effectively with less supervision
Qualifications, Skills and Experience
1. Minimum Second-Class Upper University degree in Statistics, Applied Mathematics, Economics / Econometrics, Actuarial Science, Computer Science, Information Technology, Operations Research, Industrial Engineering, or other quantitative discipline.
2. 1 Year Experience as a Data Analyst, Business Intelligence Analyst, Data Visualization Specialist, Quantitative Analyst, or Data Scientist.
3. Any experience within Micro Finance / Credit Risk / Banking / Mobile Networks is an added advantage
Job Purpose:
The position holder is to lead analysis and modelling of NIHR Global Health Research Group on Vaccines for vulnerable people in Africa (VAnguard). Vaccines are extremely effective public health interventions, but not everyone benefits equally. Social, biological, geographical and political circumstances render some communities vulnerable, unable to secure optimal health benefits from vaccination programmes. This both drives health inequity and undermines wider vaccine impact by allowing persistence of nonimmune communities as foci for recurrent disease outbreaks. VAnguard’s goal is to identify modifiable structural, social and biological determinants of impaired vaccine impact in vulnerable African communities, and hence to develop integrated strategies to address them and to drive health equity. VAnguard brings together East African leaders in vaccine research, implementation and community engagement, with UK experts in vaccine biology and the social anthropology of vaccine hesitancy. Our specific objectives, in collaboration with national stakeholders and communities in Uganda and Kenya, are to
• Investigate biological drivers and mechanisms of population differences in vaccine response
• Understand how social and biological determinants of vaccine response interrelate to determine vaccine impact
• Identify and model integrated strategies to inform development of future interventions to optimize vaccine impact among vulnerable populations The statistician/modeller will lead a work package, collaborating with Ugandan, Kenyan and UK colleagues, to develop a comprehensive modelling framework, describing how biological, social and structural factors impact vaccine responses in different communities in Uganda and Kenya. S/he will participate in literature reviews to design and parameterize the model, and in the design and analysis of a further survey, exploring factors identified as relevant. S/he will then work with colleagues and communities to implement the model to identify possible intervention packages to improve vaccine benefits among populations at risk of poor vaccine impact.
Roles & Responsibilities
1. Principal duties;
• Take lead of the VAnguard analysis and modelling work package;
• Oversee literature review and analysis;
• Survey design and analysis;
• Model development and implementation;
• Lead and contribute to writing publications and reports;
• Presenting research findings at meetings; and,
• Working collaboratively in a multi-disciplinary and, multi-national team.
2. LSHTM integration;
• Working with the Statistics department at the MRC/UVRI and LSHTM UgandaResearch Unit, and with Professor Emily Webb, the post-holder will haveopportunities to participate in academic opportunities with the LSHTM-basedInternational Statistics and Epidemiology Group, including monthly group meetings.They will also be encouraged to join relevant LSHTM Centers, including the VaccinesCentre.
3. Environment;
• The post-holder will be based at the MRC/UVRI and LSHTM Uganda Research Unit inEntebbe, where the department currently supports 8 statisticians, and works with astrong data department of about 30 staff. S/he will work collaboratively with membersof the group from the Unit, from UVRI itself, from collaborating institutions in Uganda(Makerere, Uganda Christian University), in Kenya (KEMRI Wellcome Trust ResearchProgramme) and from the UK (LSHTM-London, University of Cambridge). Travel toKenya for meetings is expected.
Person Specification
• PhD in medical statistics, epidemiology or mathematical modelling, or related subject;
• MSc with an excellent track record of Statistics/modelling may be considered;
• Should possess a demonstrated aptitude for applied public health research;
• Relevant practical experience working as a statistician/modeler in a research setting;
• Contributions to written output, preferably peer-reviewed, as expected by the subject area in terms of types and volume of outputs;
• Experience of participation in collaborative multi-disciplinary research projects;
• Experience supervising and supporting junior researchers and/or research degreestudents;
• Experience designing epidemiological studies;
• Should be a proficient user of R and experience using R for statistical analyses andmathematical modelling;
• Knowledge of vaccines and immunization;
• Should possess proven ability to work independently, as well as collaboratively as part ofa research team;
• Evidence of excellent interpersonal skills, including the ability to communicate effectivelyboth orally and in writing; and,
• Evidence of good organizational skills, including effective time management.
Deadline of this Job: 26 August 2022
Job Title: Data Analyst
Duty Station: Head Office
Reports to: Head of Credit
Summary
The Data Analyst is responsible for collecting and analysing relevant data from a wide variety of sources to provide practical and meaningful data insight reports, which guide credit risk decision making and general management actions. He/She will support operational data analytics & insights, credit scoring and management reporting.
Main duties and responsibilities:
1. Sourcing data from various sources including SQL databases and CSV files.
2. Transforming and automating repetitive data tasks such as combining files.
3. Data modelling & data visualization to evaluate performance and trends, using interactive visuals and dashboards.
4. Statistical and predictive analysis to model uncertain scenarios.
5. Management and administration of credit scorecards and coordinating with the Global Credit Risk and Data Insights team for standardization of credit scoring and data analytics practices.
6. Credit Risk Scoring and segmentation to facilitate credit risk-based decision making and ensuring that monthly credit score lists are uploaded on the FINCA Scores and Decisions Repository.
7. Developing processes and procedures for integrating Credit scoring and risk-based pricing models into underwriting operations.
8. Obtaining feedback from branches on Credit Risk Scores and suggest improvements.
9. Training of Staff (Branches & Head Office) regarding Credit Risk Scoring processes and outcomes and basic excel analytics.
10. Providing solutions for queries from Branches and Head Office departments for Business and Data Insights Management Reporting.
11. Creating and maintaining regular and ad-hoc business operational reports, key risk indicators, among others.
12. Collecting credit risk related data and conducting analysis, segmentation, trending, forecasting and interpretation of risk management issues and concerns relevant to a portfolio of loan products using statistical techniques.
13. Supporting credit portfolio stress testing and scenario development.
14. Creating analytical datasets by performing exhaustive descriptive analysis, data cleansing and normalization, and investigation of business rules that create the data.
15. Developing systems and processes for gathering and storing data for future work and projects.
16. Developing new, improving current and automating processes & reports routinely utilized using statistical and data science techniques.
17. Validating IFRS9 Modelling Variables, Assumptions, MDQs and ECL outputs for accurate Loan Loss Provisions.
Competencies
To perform the job successfully, an individual should demonstrate the following competencies:
• Vintage Analysis Modelling.
• Credit Portfolio Stress Testing Modelling.
• Marketing Intelligence Analytics.
• Technical Understanding WPS Programming Environment.
• Conversant with Coding languages: SAS; SQL; Python; R, etc.
• Experience with Visualization Tools: Power Bi; Tableau, etc.
• Machine learning concepts to constantly improve automated decision making.
• Regression Analysis – Fundamentals & Practical Applications.
• Statistical and predictive analysis using code.
• Data transformation, modeling, and visualization.
• Well-developed inter-personal and communication skills
• Proactive and logical approach with attention to detail.
• Capable of performing under pressure and within time constraints.
• Self-motivated and ability to work effectively with less supervision
Qualifications, Skills and Experience
1. Minimum Second-Class Upper University degree in Statistics, Applied Mathematics, Economics / Econometrics, Actuarial Science, Computer Science, Information Technology, Operations Research, Industrial Engineering, or other quantitative discipline.
2. 1 Year Experience as a Data Analyst, Business Intelligence Analyst, Data Visualization Specialist, Quantitative Analyst, or Data Scientist.
3. Any experience within Micro Finance / Credit Risk / Banking / Mobile Networks is an added advantage
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