quantitative consultant

UNISON Group

<div>We are seeking an experienced Senior Quantitative Consultant with strong expertise in Asset Liability Management (ALM), Interest Rate Risk in the Banking Book (IRRBB), and risk analytics. The ideal candidate will have hands-on experience in quantitative modeling, data analysis, and regulatory risk frameworks within the banking domain. 
 
Key Responsibilities<ul>
<li>
Develop, enhance, and maintain ALM and IRRBB models.
</li><li>Perform behavioral modeling for deposits and loan prepayments.
</li><li>Conduct interest rate sensitivity analysis (EVE / NII).
</li><li>Support liquidity risk analytics and balance sheet simulations.
</li><li>Extract, process, and analyze large datasets using SQL.
</li><li>Build, validate, and maintain statistical models using SAS.
</li><li>Prepare and maintain comprehensive model documentation.
</li><li>Support model governance, validation, and regulatory compliance processes.
</li><li>Collaborate with risk, finance, and business teams to support strategic decision-making.</li>
</ul>
Requirements<h3 class="jobSectionHeader">
Required Qualifications &amp; Skills</h3><ul>
<li>5&ndash;8 years of experience in banking risk analytics and ALM.
</li><li>Strong hands-on expertise in SAS and SQL for model development.
</li><li>Proven experience in IRRBB, liquidity risk, and behavioral modeling.
</li><li>Exposure to GCC banking regulations and practices is preferred.
</li><li>Strong quantitative background in Finance, Mathematics, Statistics, Engineering, or related fields.
</li><li>Excellent analytical, problem-solving, and communication skills.
</li><li>Ability to work independently and manage multiple priorities effectively.</li></ul></div>

Senior Quantitative Consultant (ALM & Risk Analytics)

Unison Group

<div>
 We are seeking an experienced
 
 Senior Quantitative Consultant
 
 with strong expertise in Asset Liability Management (ALM), Interest Rate Risk in the Banking Book (IRRBB), and risk analytics. The ideal candidate will have hands-on experience in quantitative modeling, data analysis, and regulatory risk frameworks within the banking domain.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop, enhance, and maintain ALM and IRRBB models.
 </li>
 <li>
 Perform behavioral modeling for deposits and loan prepayments.
 </li>
 <li>
 Conduct interest rate sensitivity analysis (EVE / NII).
 </li>
 <li>
 Support liquidity risk analytics and balance sheet simulations.
 </li>
 <li>
 Extract, process, and analyze large datasets using SQL.
 </li>
 <li>
 Build, validate, and maintain statistical models using SAS.
 </li>
 <li>
 Prepare and maintain comprehensive model documentation.
 </li>
 <li>
 Support model governance, validation, and regulatory compliance processes.
 </li>
 <li>
 Collaborate with risk, finance, and business teams to support strategic decision-making
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Required Qualifications &amp; Skills
 
 
 
 
 <ul>
 <li>
 5-8 years of experience in banking risk analytics and ALM.
 </li>
 <li>
 Strong hands-on expertise in SAS and SQL for model development.
 </li>
 <li>
 Proven experience in IRRBB, liquidity risk, and behavioral modeling.
 </li>
 <li>
 Exposure to GCC banking regulations and practices is preferred.
 </li>
 <li>
 Strong quantitative background in Finance, Mathematics, Statistics, Engineering, or related fields.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 Ability to work independently and manage multiple priorities effectively.
 </li>
 </ul>
</div>

Wells Fargo

<div>About Wells Fargo 
Wells Fargo &amp; Company (NYSE: WFC) is a diversified, community-based financial services company with $2.0 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more than 8,500 locations, 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 42 countries and territories to support customers who conduct business in the global economy. With approximately 273,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo &amp; Company was ranked No. 25 on Fortune's 2017 rankings of America's largest corporations. Wells Fargo's vision is to satisfy our customers' financial needs and help them succeed financially. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories . 
 
About Wells Fargo India 
Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations. 
 
Department Overview 
 
Product, Analytics and Modeling (PAM) brings a team member-based approach to the international talent pool focusing on analytical requirements. PAM encompasses roles that deliver meaningful insights, analysis and reporting based on skills, experience and judgment to support the Enterprise Analytics and Data Science (EADS) organization operate successfully today, and continue on the right trajectory to operate successfully in the future. 
 
About the Role 
 
Analytic Consultant/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics, in support of operational risk initiatives across Chief Operating Office org. 
AIM (AI Innovation and Modeling) is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo's analytic community.
 
We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling. In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, optimization algorithms in both edge nodes and in big data environments (like hortonworks, MapR, Aster etc.) 
 
Responsibilities:<ul><li>
Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.</li><li>
Person will be leading small group of junior data scientists and work as a technical lead to support enterprise grade Gen AI programs</li><li>
He/she would be developing statistical/machine learning/GenAI models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.</li><li>
Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.</li><li>
Define business problem and translate it into analytical problem.</li></ul>
Essential Qualifications:<ul><li>
8+ years of experience in the field of data science and analytics with hands on working knowledge in related tools and technologies.</li><li>
Deep working knowledge of machine learning and deep learning, including model selection, training dynamics, overfitting, and evaluation tradeoffs.</li><li>
Practical mastery of prompt engineering and LLM behavior control, including structured prompting, chain-of-thought, robustness, and security considerations.</li><li>
Ability to design and optimize Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, chunking, and reranking techniques.</li><li>
Experience with model evaluation, monitoring, and Responsible AI, including bias, hallucination mitigation, governance, and human-in-the-loop validation.</li><li>
Strong MLOps/LLMOps capabilities, covering model lifecycle management, experiment tracking, deployment, cost control, and latency optimization.</li><li>
Proficiency in Python-based data science and software engineering, with experience integrating GenAI into scalable, production-grade systems.</li><li>
Exploratory Data analysis
<ul><li>Provide exploratory data analysis using Python/R/SAS / SQL</li><li>
Experience with Databases like oracle , Teradata, Sql server</li><li>
Advance Excel skills</li><li>
Data integration and clean up data for the usage</li><li>
Experience with structured data and semi-structured text or Excel files</li></ul></li></ul><ul><li>
Business Intelligence
<ul><li>Tableau, Power BI, Shiny, Dash, HTML5</li></ul></li><li>
Business Analytics
<ul><li>Data mining and Insights</li><li>
Trend Analysis , forecasting and pattern recognition</li><li>
Find opportunities in the data and able to communicate to the partners</li><li>
Consult with partners to define issues/information needs</li><li>
Present findings to multiple levels of management</li><li>
Ensure that analyses are delivered on time, while surpassing partner expectations</li><li>
Ensure partner transparency throughout the life of the project</li><li>
Proactively seek opportunities to increase the value of analysis</li><li>
Strong oral and written communication and consultative skills</li></ul></li></ul>
Desired Qualifications:<ul><li>
Strong collaboration skills</li><li>
Output deployment using appropriate technologies (HTML5, Shiny, Django)</li><li>
Working expertise in Tensorflow, Keras or Pytorch would be added advantage</li><li>
Ability to translate analytical data into useful business information</li><li>
Critical thinking and strong problem solving skills</li><li>
Ability to learn the business aspects quickly</li><li>
knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.</li><li>
Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.</li><li>
Ability to multi-task and prioritize between projects
</li><li>Ability to work independently and as part of a team
</li></ul>Posting End Date:
 
31 Mar 2026 
*Job posting may come down early due to volume of applicants.
 
 
We Value Equal Opportunity 
 
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. 
 
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. 
 
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. 
 
Applicants with Disabilities 
 
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . 
 
Drug and Alcohol Policy 
 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. 
 
Wells Fargo Recruitment and Hiring Requirements: 
 
a. Third-Party recordings are prohibited unless authorized by Wells Fargo. 
 
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Quantitative Analytics Consultant - NLP / GenAI

<div>
 
 About Wells Fargo
 
 
 
 Wells Fargo &amp; Company (NYSE: WFC) is a diversified, community-based financial services company with $2.0 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more than 8,500 locations, 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 42 countries and territories to support customers who conduct business in the global economy. With approximately 273,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo &amp; Company was ranked No. 25 on Fortune's 2017 rankings of America's largest corporations. Wells Fargo's vision is to satisfy our customers' financial needs and help them succeed financially. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories .
 
 
 
 About Wells Fargo India
 
 
 
 Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations.
 
 
 
 Department Overview
 
 
 
 Product, Analytics and Modeling (PAM) brings a team member-based approach to the international talent pool focusing on analytical requirements. PAM encompasses roles that deliver meaningful insights, analysis and reporting based on skills, experience and judgment to support the Enterprise Analytics and Data Science (EADS) organization operate successfully today, and continue on the right trajectory to operate successfully in the future.
 
 
 
 About The Role
 
 
 
 Analytic Consultant/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics, in support of operational risk initiatives across Chief Operating Office org.
 
 
 AIM (AI Innovation and Modeling) is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo's analytic community.
 
 
 We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling. In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, optimization algorithms in both edge nodes and in big data environments (like hortonworks, MapR, Aster etc.)
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
 </li>
 <li>
 Person will be leading small group of junior data scientists and work as a technical lead to support enterprise grade Gen AI programs
 </li>
 <li>
 He/she would be developing statistical/machine learning/GenAI models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.
 </li>
 <li>
 Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.
 </li>
 <li>
 Define business problem and translate it into analytical problem.
 
 
 </li>
 </ul>
 
 Essential
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 8+ years of experience in the field of data science and analytics with hands on working knowledge in related tools and technologies.
 </li>
 <li>
 Deep working knowledge of machine learning and deep learning, including model selection, training dynamics, overfitting, and evaluation tradeoffs.
 </li>
 <li>
 Practical mastery of prompt engineering and LLM behavior control, including structured prompting, chain-of-thought, robustness, and security considerations.
 </li>
 <li>
 Ability to design and optimize Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, chunking, and reranking techniques.
 </li>
 <li>
 Experience with model evaluation, monitoring, and Responsible AI, including bias, hallucination mitigation, governance, and human-in-the-loop validation.
 </li>
 <li>
 Strong MLOps/LLMOps capabilities, covering model lifecycle management, experiment tracking, deployment, cost control, and latency optimization.
 </li>
 <li>
 Proficiency in Python-based data science and software engineering, with experience integrating GenAI into scalable, production-grade systems.
 </li>
 </ul>
 <ul>
 <li>
 Exploratory Data analysis
 </li>
 <ul>
 <li>
 Provide exploratory data analysis using Python/R/SAS / SQL
 </li>
 <li>
 Experience with Databases like oracle , Teradata, Sql server
 </li>
 <li>
 Advance Excel skills
 </li>
 <li>
 Data integration and clean up data for the usage
 </li>
 <li>
 Experience with structured data and semi-structured text or Excel files
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Business Intelligence
 </li>
 <ul>
 <li>
 Tableau, Power BI, Shiny, Dash, HTML5
 </li>
 </ul>
 <li>
 Business Analytics
 </li>
 <ul>
 <li>
 Data mining and Insights
 </li>
 <li>
 Trend Analysis , forecasting and pattern recognition
 </li>
 <li>
 Find opportunities in the data and able to communicate to the partners
 </li>
 <li>
 Consult with partners to define issues/information needs
 </li>
 <li>
 Present findings to multiple levels of management
 </li>
 <li>
 Ensure that analyses are delivered on time, while surpassing partner expectations
 </li>
 <li>
 Ensure partner transparency throughout the life of the project
 </li>
 <li>
 Proactively seek opportunities to increase the value of analysis
 </li>
 <li>
 Strong oral and written communication and consultative skills
 </li>
 </ul>
 </ul>
 
 Desired Qualifications:
 
 
 
 <ul>
 <li>
 Strong collaboration skills
 </li>
 <li>
 Output deployment using appropriate technologies (HTML5, Shiny, Django)
 </li>
 <li>
 Working expertise in Tensorflow, Keras or Pytorch would be added advantage
 </li>
 <li>
 Ability to translate analytical data into useful business information
 </li>
 <li>
 Critical thinking and strong problem solving skills
 </li>
 <li>
 Ability to learn the business aspects quickly
 </li>
 <li>
 knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
 </li>
 <li>
 Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.
 </li>
 <li>
 Ability to multi-task and prioritize between projects
 </li>
 <li>
 Ability to work independently and as part of a team
 
 
 </li>
 </ul>
 
 Posting End Date:
 
 
 
 31 Mar 2026
 
 
 <ul>
 <li>
 Job posting may come down early due to volume of applicants.
 
 
 </li>
 </ul>
 
 We Value Equal Opportunity
 
 
 
 Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
 
 
 Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
 
 
 Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
 
 
 
 Applicants With Disabilities
 
 
 
 To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
 
 
 
 Drug and Alcohol Policy
 
 
 
 Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
 
 
 
 Wells Fargo Recruitment And Hiring Requirements
 
 
 
 <ul>
 <li>
 Third-Party recordings are prohibited unless authorized by Wells Fargo.
 </li>
 <li>
 Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
 
 
 </li>
 </ul>
 
 Reference Number
 
 
 
 R-518849
</div>

Fuse Energy

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement models for our energy supply business using Python and other data science tools
 </li>
 <li>
 Identify, analyze, and mitigate credit risk
 </li>
 <li>
 Conduct data analysis and modeling to support risk management decisions
 </li>
 <li>
 Stay current with industry developments and regulations related to credit risk management
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience as a quantitative researcher or data scientist
 </li>
 <li>
 Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
 </li>
 <li>
 Strong statistical and modeling skills
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Experience in the energy industry is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and a stock options sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs!
 </li>
 <li>
 28 days paid annual leave per year including public holiday
 </li>
 </ul>
</div>

Quantitative Researcher

Plutus21

<div><h2 class="jobSectionHeader">Job Summary:</h2>
Plutus21 is looking for a Quantitative Researcher to discover, test, and improve systematic alpha signals and portfolio construction for low-frequency equity strategies (typically daily to monthly horizons). This role is designed for exceptional quantitative thinkers coming from Physics, Mathematics, Statistics, Engineering, or other rigorous fields.
Key Responsibilities: 
Research and hypothesis generation:<ul><li>
Translate investment ideas into testable hypotheses with clear metrics and failure criteria</li><li>
Build simple baselines first, then iterate toward stronger models only when justified</li><li>
Data and features (research-grade)</li><li>
Work with panel/time-series equity data and build features with strict as-of availability</li><li>
Implement careful data checks (missingness, outliers, corporate actions, calendar alignment)</li></ul>
Evaluation and robustness:<ul><li>
Design validation protocols appropriate for time series (walk-forward, rolling windows, cross-sectional splits)</li></ul><ul><li>
Detect and prevent common research pitfalls: look-ahead bias, leakage, overfitting, multiple comparisons</li><li>
Perform robustness analysis: turnover, drawdowns, concentration, regime sensitivity, stability across time and cohorts</li><li>
Backtesting and portfolio construction</li><li>
Implement or extend low-frequency backtests for signals and portfolios</li><li>
Model basic frictions realistically (transaction costs, slippage assumptions, liquidity/turnover constraints)</li><li>
Collaborate with engineering/trading to productionize the strongest research findings</li></ul>
Communication and collaboration<ul><li>
Write clear research memos: what you tried, what worked, what didnt, what you recommend next</li><li>
Present results transparently, including uncertainty, limitations, and risk considerations</li></ul>
Qualifications (Core):<ul><li>
Strong quantitative foundation in probability/statistics and at least one of: linear algebra, optimization, numerical methods</li><li>
Ability to design experiments and reason about measurement (baselines, controls, uncertainty, sanity checks)</li><li>
Ability to write working analysis code in Python (preferred) or another language, and communicate code/results clearly</li><li>
Comfort with real-world messy datasets and non-stationary behavior</li><li>
Strong written communication and intellectual honesty (you can say this is inconclusive and explain why)</li><li>
Experience We Value (Any Combination)</li><li>
Prior research experience (academic, industry, independent) demonstrating end-to-end ownership</li><li>
Evidence of strong software fundamentals even without formal CS training: readable code, modularity, reproducibility</li><li>
Work involving time-series or observational data where leakage is a risk (forecasting, causal inference, experiments)</li></ul>
Nice to Have (Not Required):<ul><li>
Any exposure to markets, equities, factor models, or portfolio construction (we can teach this)</li><li>
Familiarity with common research tools: numpy/pandas/scipy/statsmodels/sklearn, Jupyter, Git</li><li>
Experience with simulation/Monte Carlo, Bayesian methods, or causal inference</li></ul></div>

Health Systems Insight

<div>Duration: Through July 2026

Level of effort: Up to 55 working days on an intermittent basis.[1]

Reporting to: Technical Advisor, KP 


BACKGROUND

Health Systems Insight (HSI) is implementing the Strategic Purchasing for Primary Healthcare (SP4PHC) project to support improved access to primary healthcare in three provinces of Pakistan. HSI is looking for a Technical Specialist (consultant) to provide short-term support to the project team in Khyber Pakhtunkhwa (KP). The Consultant will serve as a subject matter expert in health financing and strategic purchasing, leveraging that expertise to support technical program implementation in KP. The Consultant will bring strong quantitative skills and research capacity as well as a solid understanding of the design, implementation, and evaluation of health policy reform. The consultant will work on an as needed basis throughout the contract period. The level of effort may vary month to month depending on project needs and data availability.

Subject to funding availability, program needs, and satisfactory performance, this consultancy may be eligible to apply for a future staff position

SCOPE OF WORK

The tasks below describe the expected areas of support and anticipated outputs. Work will be assigned and approved by the Technical Advisor based on project priorities. The Consultant will be responsible for conducting a Service Delivery Impact Assessment study on Primary Care Management Committees (PCMCs); support HSI on review and quality assurance of a PHC expenditure analysis study awarded to a third party. The consultant will collaborate with the provincial Department of Health and other stakeholders as needed to support data access, validation of findings, and dissemination of results. The consultant may also provide limited technical input to related health financing workstreams in KP as mutually agreed and within the approved level of effort.

Task 1: Service Delivery Impact Assessment &ndash; Data Acquisition &amp; Management (15 days)
This will focus on the preliminary groundwork required for the PCMC assessment, ensuring data is secured and ready for processing. This will include:
<div>
<ul><li>To liaise with the Department of Health (DoH) and relevant authorities to secure access to necessary administrative, financial, and service delivery data required for the assessment.</li></ul>
<ul><li>To review the quality and completeness of the raw data received from the DoH, identifying gaps and necessary proxies where data is missing.</li></ul>
</div><ul><li>To lead the data cleaning process, organizing raw datasets into a structured format suitable for statistical analysis.</li>
</ul><div><ul><li>To develop a finalized analysis plan and research framework.</li></ul>
</div>
Task 2: Service Delivery Impact Assessment &ndash; Quantitative Analysis (15 days)
This will involve the execution of the study using the cleaned data. This will include:
<div>
<ul><li>To conduct the quantitative analysis of the collected data, utilizing statistical software (e.g., Stata, R, SPSS, Excel as appropriate) to evaluate the impact on service delivery indicators.</li></ul>
<ul><li>To interpret complex data sets to identify trends, efficiency gaps, and opportunities for improved purchasing arrangements.</li></ul>
</div><ul><li>To perform sensitivity analyses and robustness checks to ensure the validity of the findings.</li>
</ul><div><ul><li>To coordinate regularly with the Technical Advisor to refine the analysis.</li></ul>
</div>
Task 3: Service Delivery Impact Assessment &ndash; Reporting &amp; Dissemination (15 days)
This will focus on synthesizing the analysis into products. This will include:
<div>
<ul><li>To draft the comprehensive technical report on the Service Delivery Impact of PCMCs, including executive summary, methodology, findings, and policy recommendations.</li></ul>
<ul><li>To create high-quality graphics and visualizations of the quantitative data to make technical findings accessible to policymakers.</li></ul>
</div><ul><li>To develop a presentation deck summarizing the key findings for government stakeholders and donors.</li>
</ul><div><ul><li>To incorporate feedback from the HSI global technical team and local stakeholders to finalize the report.</li></ul>
<ul><li>To facilitate presentation of findings to DoH and other government stakeholders.To ensure all deliverables adhere to HSI's research standards, writing guidelines, and reporting templates.</li></ul>
<ul><li>To provide technical input on communication products developed by HSI related to PCMCs.</li></ul>
</div>
Task 4: PHC Expenditure Analysis &ndash; Quality Assurance &amp; Review (10 days)
This focuses on the technical vetting of the third-party's deliverables. This will include:
<div>
<ul><li>To review the preliminary data analysis and draft reports submitted by the third-party firm, providing detailed technical feedback and edits.</li></ul>
<ul><li>To ensure the quality and coherence of the data presented.</li></ul>
</div><ul><li>To review the final presentation package (slide deck and final report), ensuring the HSI&rsquo;s guidelines on research and writing are met.</li>
</ul><div><ul><li>To provide technical input on communication products developed by HSI related to PHC.</li></ul>
</div>
KEY DELIVERABLES

The deliverables below describe the expected outputs to be developed over the course of the consultancy. These deliverables will be used to guide work planning, monitor progress, and support performance management. Time will be compensated based on hours worked and approved by the Technical Advisor, up to the estimated level of effort defined in this TOR.
Deliverable
Due Date (Tentative)
Notes
Inception Report
March 2026
Includes confirmed data access from DoH and a finalized analysis framework for the PCMC Impact Assessment.
Cleaned PCMC Dataset &amp; Preliminary Analysis
April 2026
End-to-end data cleaning completed; preliminary quantitative tables and charts generated for internal review.
Draft PCMC Impact Assessment Report
May 2026
Comprehensive draft including methodology, findings, and visualizations; ready for Technical Advisor review.
Review of PHC Expenditure Analysis (Draft)
April 2026
Written feedback on the third-party firm's draft report and data validity.
Final PCMC Impact Assessment Report &amp; Slide Deck
June/July 2026
Finalized report and presentation deck approved by Country Director and the global technical backstop; ready for dissemination to government partners.
Note: Performance will be assessed solely on agreed deliverables, which require formal written approval by the designated Technical Advisor prior to milestone payment.

REQUIREMENTS &amp; QUALIFICATIONS

Education:
<ul>
<li>BA/BS and 6+ years of experience OR a Graduate degree (Master's) and 4+ years of relevant experience.</li>
</ul>
Experience &amp; Skills:
<ul>
<li>Strong quantitative skills with a track record in research design, data collection, and analysis. Experience with statistical software (Stata, R, SPSS) preferred.</li>
<li>Relevant work experience in health policy, health systems, and health financing. Knowledge of strategic purchasing and PFM in Pakistan is a plus.</li>
<li>Demonstrated ability to prepare high-quality technical reports and visualize data for non-technical audiences.</li>
<li>An entrepreneurial, results-oriented &quot;doer&quot; capable of working independently and as a collaborative colleague.</li>
<li>Experience working with government stakeholders or development partners in Pakistan is strongly preferred.</li>
</ul>
Competencies
<ul>
<li>Functional: Data Analysis &amp; Visualization, Research Design &amp; Implementation, Health Financing &amp; Strategic Purchasing Expertise, Stakeholder Engagement.</li>
<li>Core: Strategic Thinking, Results Orientation, Adaptability, and Integrity.</li>
</ul>
ADDITIONAL INFORMATION
<ul>
<li>Periodic travel required for meetings, conferences, and other events.</li>
<li>Compensation will be commensurate with qualifications and experience.</li>
<li>The consultant must disclose all current and planned engagements, particularly with organizations working on health financing in Pakistan, to ensure no conflict of interest or direct competition with Health Systems Insight&rsquo;s work.</li></ul> 


[1] Level of effort and timelines are indicative and subject to adjustment based on data access and project priorities.</div>

Technical Specialist – Khyber Pakhtunkhwa (KP)

Search 3864+ Quantitative consultant jobs near you this March. New roles added regularly across leading industries. Apply today.

3864 quantitative consultant jobs Near Me

Senior Quantitative Consultant (ALM & Risk Analytics)

Senior Quantitative Consultant (ALM & Risk Analytics)

Lead Quantitative Analytics Consultant - NLP / GenAI

Lead Quantitative Analytics Consultant - NLP / GenAI

Quantitative Researcher

Quantitative Researcher

Technical Specialist – Khyber Pakhtunkhwa (KP)