Marketing & Advertising

Data Analyst

Ideon Limited·Nairobi, kenya·Full Time·Onsite
Marketing & AdvertisingFull TimeOnsite
-

REQUIREMENTS

  • Bachelor's degree in Statistics, Economics, Mathematics, Data Science, Business Analytics, Finance or a related field.
  • At least 2 years of relevant work experience.
  • Strong Microsoft Excel skills, including PivotTables, Power Query and advanced formulas.
  • Experience using Power BI or similar business intelligence tools.
  • Good data interpretation and analytical skills.
  • Ability to translate business data into practical recommendations.

Key skills

BA/BSc/HND
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Send your CV along with a cover letter torecruitment@ideon.co.ke

Please use the job title as the subject line of your email.

At a glance

Company

Ideon Limited

Location

Nairobi, kenya

Employment

Full Time

Work style

Onsite

Experience

Valid until

Not specified

Created

November 11, 2026

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In Nairobi, the project is targeting Mathare and Mukuru. These areas face interconnected risks, including fires, flooding, insecurity, disease outbreaks, poor hygiene and sanitation, and gender-based violence. The project is building on previous investments under UCRBP, YLEP and CISU, as well as established relationships with local administration, community leadership and locally led organizations, including Mathare Emergency Community Response Network (MCERN), Grassroot Six Organization (GRO6) and Africa Fire Mission (AFM), to strengthen collaboration and sustainability. In Mombasa, the project is focusing on Miritini in Jomvu and Tudor in Mvita, where communities continue to experience social and protection-related vulnerabilities, including SGBV, teenage pregnancies, crime and violence, particularly affecting young people. The project is building on existing community structures, including CDMCs, RCATs and community volunteers, as well as previous and ongoing KRCS interventions such as UCRBP, the Cholera and Maternal, Newborn and Child Health (MNCH) interventions in Jomvu, YLEP and CISU. Project Objectives To contribute to well-functioning multi-hazard preparedness and response systems, linked with the county disaster structures To empower young people and households with capacities to cope, recover and advocate for safer, healthier and more resilient communities. To strengthen multi-hazard preparedness and response systems, with particular attention to water, sanitation and hygiene (WASH), public health emergencies and epidemic surveillance To document lessons and developed knowledge of products to influence county and national policy on urban resilience. Key Project Stakeholders The project was implemented in close coordination with the Ministry of Health, Ministry of Labor and Social Protection, Ministry of Planning and Devolution, Ministry of Interior and Coordination of National Government, Nairobi and Mombasa County Government. KRCS is a member of the County Steering Group (CSG) to coordinate preparedness and response activities with other actors at county level. At the community level, the Programme was implemented by KRCS volunteers’ and the community health volunteers (CHVs) supervised by the Community Health Assistants (CHAs) with links to the health facilities structures, Mathare Emergency Community Response Network (MCERN), Grassroot Six Organization (GRO6), and Africa Fire Mision (AFM), community disaster management committees (CDMC), The Programme staff worked closely the extension officers from the Ministry of Agriculture & Livestock as well as hygiene and sanitation officers. Community members: women, men, boys, and girls, including those with disabilities were also important stakeholders at the community level. Evaluation Purpose & Scope Purpose. The end-term evaluation seeks to provide relevant data against the project indicators, to understand the impact of the project’s interventions. It will also bring out issues that were affecting the project implementation and things that aided the success of the project as well as looking into the impact of the project. The specific objectives of the end-term evaluation will be: To measure project achievements against log frame indicators and compared to baseline findings. To determine the relevance, effectiveness, efficiency, impact, sustainability and coherence of the project results in consideration of its goal and objectives. To understand whether intended or unintended shifts in knowledge, attitudes and social norms around disaster preparedness occurred amongst the target community/population as a result of the project interventions. To identify and provide evidence for the project’s impact, sustainability measures in place, good practices, lessons learned and recommendations for scale up or cross programming. To review the proposed indicators within the log-frame and set targets based on the findings that will guide the next phase of the project implementation. Key Questions The following are the key questions to be addressed during the ETE. The evaluator may however suggest changes/additional questions at the inception stage: Measuring against indicators and targets What are the endline values for indicators? Did the project achieve the targets? Are they meaningfully different from baseline? Service access and utilization To what extent have target communities accessed and utilized information on prevalent local hazards, weather patterns, early warning messages and associated risks to inform their preparedness and decision-making? To what extent have communities accessed and utilized strengthened multi-hazard emergency preparedness and response systems, including early warning mechanisms, contingency plans, emergency response structures and services? To what extent have young men and women accessed and utilized skills, resources, support systems and opportunities to strengthen their capacity to cope with and recover from disaster risks and emergencies? To what extent have communities and other relevant stakeholders benefited from and utilized improved KRCS capacity to deliver urban disaster risk reduction and emergency response programmes? In what ways were project interventions inclusive or not inclusive to people with disabilities? To what extent have target communities accessed and utilized information on prevalent local hazards, weather patterns, early warning messages and associated risks to inform their preparedness and decision-making? Effectiveness To what extent were the project expected results achieved (objectives, outputs and outcomes)? How does that compare to the target and the baseline findings? What changes as reported by the community/stakeholders can be attributed to the project (positive, negative, expected and unexpected) What is the level of resilience amongst the targeted groups? Have there been any positive or negative unintended outcomes of the work? Efficiency Were all activities done within the budget? If there were any significant variances (whether early or late, over or under expenditure), what caused them? How did the efficiency affect the effectiveness of the project? Was there value for money? What has been done in an innovative way? Sustainability What sustainability measures were put in place – institutional/financial/technical? To what extent have socio-cultural factors affected uptake of project interventions? And what measures have been/should be taken to address the same? Relevance How satisfied are the community members with the interventions undertaken by the project? What do the beneficiaries feel is the effect of the project on their lives in the short term and in the long run? The extent to which the intervention objectives and design respond to communities’ needs, policies, and priorities, and continue to do so if circumstances change. Coherence How well has the project’s intervention been compatible with other interventions in the County. Was the intervention aligned with the national development plan and other relevant policies and strategies? Did the intervention contribute to the overall development goals of the country? Impact. 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How transparent and accessible were the project's information sharing and grievance/feedback mechanisms? Has the engagement process fostered a sense of local ownership to sustain the project's benefits over time? What complaints and feedback mechanism were put in place? What were the common community complaints addressed during the project period? Do the community members think that the project respected their culture/religion/daily routines/community calendars etc. and how did that affect the project uptake? Survey Methodology The consulting firm will propose the most suitable study design, sampling methods, sample size, data collection and analysis approaches that is suitable end term evaluation. This should be clearly outlined in the bidding document/proposal and if qualified to oral stage to have further discussion with the evaluation management team. 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The project outcome and output indicators are shown in the table below: - Hierarchy of Objectives Objectively Verifiable Indicators (OVI) Contribute to building long-term resilience for the most vulnerable communities in the urban settlements. 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Impartiality & Independence: Assessments should be impartial, providing a comprehensive and unbiased assessment that considers the views of all stakeholders. Transparency: assessment activities should reflect an attitude of openness and transparency. Accuracy: Assessments should be technically accurate, providing sufficient information about the data collection, analysis, and interpretation methods so that their worth or merit can be determined. Participation: Stakeholders should be consulted and meaningfully involved in the assessment process when feasible and appropriate. Collaboration: Collaboration between key operating partners in the assessment process improves the legitimacy and utility of the assessment. Inclusion: The assessment must include clear steps to ensure meaningful engagement and participation of all sections of the community, including persons with disability. It is also expected that the assessment will respect the seven Fundamental Principles of the Red Cross and Red Crescent: 1) humanity, 2) impartiality, 3) neutrality, 4) independence, 5) voluntary service, 6) unity and 7) universality. Qualifications and Experience for Consultants The lead consultant must possess the following qualifications: A minimum of a master’s degree in Climate Adaptation/Disaster Risk Reduction/Social science/ community development or related field. A minimum of 5 years’ extensive experience in carrying out comprehensive evaluations or similar assignments. Good understanding of Climate Change, Disaster Risk Resilience interventions, disability and gender inclusion, and age among vulnerable populations in Kenya. Proven experience in participatory and results-based M&E knowledge and practical experience in quantitative and qualitative research methods. Must have led in at least five participatory assessments. Experience of conducting Baseline, End line, Midterm evaluations monitoring and assessment work in the target or similar communities (preferred) High level of professionalism and an ability to work independently and in high-pressure situations under tight deadlines. Strong interpersonal, facilitation and communication skills The team must have a statistician able to analyze quantitative and qualitative data as well as key technical team members to handle specific components of the project evaluation. Team must have experience in participatory data collection methods and using mobile phone technology for data collection, monitoring and reporting. The lead consultant must have strong analytical skills and ability to clearly synthesize and present findings, draw practical conclusions, make recommendations and to prepare well-written reports in a timely manner. Availability for the period indicated and ready to carry out the assignment and deliver results within the specified period/time. 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A power point presentation highlighting key results, findings, and recommendations to be disseminated to the key stakeholders by the consultant after approval of the end term evaluation report. At least 4 new case studies. An easy-read version of the end term evaluation report alongside the full end term evaluation report. Evaluation Management Team The evaluation management team shall consist of KRCS MEA&L Unit representatives, KRCS program manager and Danish Red Cross Representative. They shall ensure that the deliverables agreed upon and approved in the inception report are achieved on time. KRCS MEA&L representative will be the chair of the team. Role of KRCS (Project and M&E team) Lead the recruitment and evaluation process Coordinate the evaluation implementation process Review of assessment products including the inception report tools, and reports KRCS will organize logistics for the assessment team Avail data collectors within agreed criteria Avail all necessary documents for desk review KRCS will be the link between the community, stakeholders and the consultant and will organize all the data collection activities (identifying respondents and setting up appointments) Will be the custodian of all data generated from the assessment Organize dissemination forums as necessary. Role of Danish Red Cross. Participate in the TOR development. Participate in the recruitment process Review the inception report and data collection tools. Review and give feedback on all evaluation products. Fund the activity budget. Final approval of the report. Application Requirements Application materials shall include: A written response to this TOR in terms of a proposal detailing the technical understanding of the task, proposed methodologies of the evaluation, expected activities and deliverables, proposed work plans with schedule, and financial bids. See Annex 1 Detailed CVs of all professionals who will work on the evaluation. If there is more than one contractor on the proposed evaluation team, please attach a table describing the level of effort (in number of days) of each team member in each of the evaluation activities. See Annex 3 Professional references: please provide at least three reference letters from your previous clients and full contact details of the referees (working and active email & phone number). 2 Sample reports of relevant previously completed assignments. Please also note that the people whose names appear in the team composition template MUST be the ones to undertake the evaluation. As such, they MUST be the ones to appear in person if the proposal moves to the interview stage. Submission of proposal. The Technical Proposal MUST be prepared in conformance to the outline provided in Annex 1 while the financial proposal shall conform to the template provided in Annex 2. The team composition should conform to Annex 3. Bidders should provide softcopy technical and financial proposal in two separate folders clearly marked Technical Proposal – Name of Consultant and Financial Proposal – Name of Consultant. The subject of your email should read Tender No. PRF33262 Call for Consultancy for End Term Evaluation for Urban Community Resilience Building (UCRB) project in Nairobi and Mombasa Counties The proposal should be addressed as below to reach the undersigned (by mail) through tenders@redcross.or.keon Monday, 24th November 2026 at 1700HRS. Chairperson, Tender Committee Kenya Red Cross Society P.O Box 40712 – 00100 Nairobi, Kenya. ANNEX 1: TECHNICAL PROPOSAL FORMAT Introduction: description of the firm, the firm’s qualifications, and statutory compliance (2 pages) Background: Understanding of the project, context and requirements for services, Key questions (2 pages) Proposed methodology - Indicate methods to be used for each indicator and highlight any areas where indicators may need adjustment. The targeted respondents should be indicated for each indicator. Proposed detailed questions should be indicated. Detailed sampling procedure and sample size determination needs to be described and provided. (5 pages) Firms experience in undertaking assignments of similar nature and experience from the geographical area for other major clients (Table with: Name of organization, name of assignment, duration of assignment (Dates), reference person contacts (2 pages) Proposed team composition (As per annex 3) - 1 page Work plan (Gantt chart of activity and week of implementation) - 1 page ANNEX 2: BUDGET TEMPLATE The consultant shall only quote for the items below as KRCS will manage all other related costs (logistics and payment of enumerators) Item Unit # of Units Unit Cost Total Cost (Ksh.) Consultancy Fee (for the whole assessment period including accommodation and travel to the data collection site) Per day Office expenses (Printing, photocopy, binding, communication costs etc.) Lumpsum Grand Total ANNEX 3: PROPOSED TEAM COMPOSITION TEMPLATE Name of Team Member Highest Level of Qualification General Years of Experience related to the task at hand Roles under this assignment ANNEX 4: TENDER ASSESSMENT CRITERIA A three-stage assessment procedure will be used to evaluate all proposals from bidders. The total number of points which each bidder may obtain for its proposal is: Technical Proposal 50 marks Oral presentation 40 marks Financial Proposal 10 marks Mandatory Requirements. The proposal shall ONLY be evaluated on the basis of its adherence to the following compulsory requirements, this applies to both local and international firms or individuals. Document/ Requirements Yes/No Tax compliance certificate Certificate of incorporation/registration (only applicable for firms) Proceed to next stage (Yes/No) Assessment of the Technical Proposal The technical proposal shall be evaluated on the basis of its responsiveness to the TOR. Specifically, the following criteria shall apply: Evaluation Criteria Maximum Points Bidder’s score Remarks Background: Description of the consultant/Firm’s Qualifications, Understanding of the project, context and requirements for services 10 Proposed Methodology: The proposed methodology MUST provide an indication of its effectiveness and added value in the proposed assignment. 20 Firms Experience in undertaking assignments of similar nature and experience from related geographical area for other major clients: Provide a summary and supporting information on overall years of experience, and related technical and geographic coverage experience. 10 Proposed Team Composition: Tabulate the team composition to include the general qualifications, suitability for the specific task to be assigned and overall years of relevant experience to the proposed assignment. The proposed team composition should balance effectively with the necessary skills and competencies required to undertake the proposed assignment. Lead Consultant Qualifications – should be as per the TOR Provide CVs for key Consulting team including Statistician/Data Analyst. 5 Work Plan: A Detailed logical, weekly work plan for the assignment MUST be provided. 5 TOTAL SCORE 50 Note: The firms/consultants that attains a score of 35 and above out of 50 in the technical evaluation will be invited to proceed to oral presentation. Oral Phase Assessment At the oral phase, the following criteria shall apply: Criteria Maximum points Bidder’s Score Remarks Understanding of the assignment. 5 Clear and scientific methodology: samplings, data collection, understanding indicators, respondents, tools, data analysis etc. 15 Presentation of previous similar assignment (Consultant will be required to show/present at least 2 previous completed assignment reports at the oral stage and at least two reference letters) 10 Preparedness and participation of teams. Attendance of team members listed in the bid and whose CVs are availed. 10 Total Score out of 40 40 Note: From this stage, the technical and oral assessment scores are combined. The firms/consultants that attains a combined score of 70% in the technical & oral presentations will be invited to proceed to the financial stage. Assessment of the Financial Proposal The Financial Proposal shall be prepared in accordance to Annex 2. The maximum number of points for the Financial Proposal shall be 10% (10 points). This maximum number of points will be allocated to the lowest Financial Proposal. All other Financial Proposals will receive points in inverse proportion according to the below formula: Points for the Financial Proposal being evaluated = (Maximum number of points for the financial proposal) x (Lowest price) Price of proposal being evaluated A total score obtained including Technical, Oral and Financial Proposals is calculated for each proposal. The bid obtaining the overall highest score shall be awarded to undertake the assignment – subject to budget allocated. GENERAL INSTRUCTIONS Please read carefully the method of tender submission and comply accordingly. KRCS reserves the right to accept or to reject any bid, and to annul the bidding process and reject all bids at any time prior to the award of the contract, without thereby incurring any liability to any Bidder or any obligation to inform the Bidder of the grounds for its action. Cost of bidding The Bidder shall bear all costs associated with the preparation and submission of its bid, and the Organization will in no case be responsible or liable for those costs, regardless of the conduct or outcome of the bidding process. Clarification of Bidding Document All correspondence related to the contract shall be made in English. Any clarification sought by the bidder in respect of the consultancy shall be addressed at least five (5) days before the deadline for submission of bids, in writing to the Administration Coordinator. The queries and replies thereto shall then be circulated to all other prospective bidders (without divulging the name of the bidder raising the queries) in the form of an addendum, which shall be acknowledged in writing by the prospective bidders. Enquiries for clarifications should be sent by e-mail to tenders@redcross.or.ke Amendment of Bidding Document At any time prior to the deadline for submission of bids, KRCS, for any reason, whether at its own initiative or in response to a clarification requested by a prospective Bidder, may modify the bidding documents by amendment. All prospective Bidders that have received the bidding documents will be notified of the amendment in writing, and it will be binding on them. It is therefore important that bidders give the correct details in the format given on page 1 at the time of collecting/receiving the bid document. To allow prospective Bidders reasonable time to take any amendments into account in preparing their bids, KRCS may at its sole discretion extend the deadline for the submission of bids based on the nature of the amendments. Deadline for Submission of Bids Bids should reach tenders@redcross.or.ke on or before 24th November 2026 at 1700HRS. Bids received after the above-specified date and time shall not be considered. Bidders should provide softcopy technical and financial proposal in two separate folders clearly marked Technical Proposal – Name of Consultant and Financial Proposal – Name of Consultant. The subject of your email should read Tender No. PRF33262 – Call for Consultancy for End Term Evaluation for Urban Community Resilience Building (UCRB) project in Nairobi and Mombasa Counties The proposal should be addressed as indicated above to reach the undersigned by 24th November 2026 at 1700HRS for the tender to be opened at 1200HRS on 25th November: Any bid received by KRCS after this deadline will be rejected. Cost Structure and non-escalation The bidder shall, in their offer (Financial Proposal), detail the proposed costs as per the template provided above. No price escalation under this contract shall be allowed. KRCS shall not compensate any bidder for costs incurred in the preparation and submission of this RFP, and in any subsequent pre-contract process. Taxes and Incidental Costs The prices and rates in the financial offer will be deemed to be inclusive of all taxes and any other incidental costs. Responsiveness of Proposals The responsiveness of the proposals to the requirements of this RFP will be determined. A responsive proposal is deemed to contain all documents or information specifically called for in this RFP document. A bid determined not responsive will be rejected by the Organization and may not subsequently be made responsive by the Bidder by correction of the non-conforming item(s). Currency for Pricing of Tender All bids in response to this RFP should be expressed in Kenya Shillings. Expressions in other currencies shall not be permitted. Correction of Errors. Bids determined to be substantially responsive will be checked by KRCS for any arithmetical errors. Errors will be corrected by KRCS as below: Where there is a discrepancy between the amounts in figures and in words, the amount in words will govern, and Where there is a discrepancy between the unit rate and the line total resulting from multiplying the unit rate by the quantity, the unit rate as quoted will govern. The price amount stated in the Bid will be adjusted by KRCS in accordance with the above procedure for the correction of errors. Evaluation and Comparison of Bids Technical proposals will be evaluated prior to the evaluation of the financial bids. Financial bids of firms whose technical proposals are found to be non-qualifying in whatever respect may be returned unopened. Confidentiality The Bidder shall treat the existence and contents of this RFP, and all information made available in relation to this RFP, as confidential and shall only use the same for the purpose for which it was provided. The Bidder shall not publish or disclose the same or any particulars thereof to any third party without the written permission of KRCS, unless it is to Bidder’s Contractors for assistance in preparation of this Tender. In any case, the same confidentiality must be entered into between Bidder and his Contractors. Corrupt or Fraudulent Practices KRCS requires that tenderers observe the highest standard of ethics during the procurement process and execution of contracts. A tenderer shall sign a declaration that he has not and will not be involved in corrupt or fraudulent practices. KRCS will reject a proposal for award if it determines that the tenderer recommended for award has engaged in corrupt or fraudulent practices in competing for the contract in question. Further a tenderer who is found to have indulged in corrupt or fraudulent practices risks being debarred from participating, please report any malpractices to complaints@redcross.or.ke

6 days ago

Fips Africa Learning Data Analysist

FIPS Africa

kenya

full-time

Role Purpose of the Role Role Purpose of the Role The Learning Data Analyst transforms programme, research, and farmer-experience data into credible, actionable insights that strengthen evidence-based learning, inform decision-making, and support adaptive programme delivery to improve outcomes for smallholder farmers and agricultural enterprises.Key ResponsibilitiesLearning questions and analytical design Key Responsibilities Work with programme teams to turn priority questions and hypotheses into feasible analysis plans with identified users, methods, data needs and review dates. Assess existing evidence before proposing new collection. Support the design of tools, sampling, measures and field protocols, seeking specialist input for complex designs or impact evaluation.Data preparation and quality Compile, clean, survey, trial, enterprise and qualitative data. Maintain data dictionaries, cleaning logs and versioned analysis files. Reconcile discrepancies with source owners, preserve original records and document unresolved limitations before findings are used. Support field-team checks and practical improvements to collection tools.Quantitative and qualitative analysis Undertake descriptive, comparative and appropriate statistical analysis; analyse trends and relevant differences by region, gender, age, farmer circumstances or enterprise type where sample sizes and data quality permit. Code and synthesise interviews, open responses, case studies and reflection records. Combine these with quantitative findings to explore mechanisms, farmer choices and contextual differences. Check calculations, assumptions and alternative explanations; report uncertainty, selection bias and other limits.Interpretation and accessible communication Prepare clear evidence summaries, charts, tables, analytical briefs and presentations. Develop or maintain dashboards only where these serve an agreed learning need and can be kept current. Help programme colleagues, farmers and partners interpret findings, test whether explanations (adsbygoogle=window.adsbygoogle||[]).push({});fit experience and identify what still needs investigation. Explain the analysis in plain language and record competing interpretations. Contribute analysis and methods to research reports and publications.Analytical capability and knowledge continuity Coach colleagues on basic data checks, interpretation, chart reading and common analytical errors through real programme work. Respond constructively to questions and make analytical choices understandable. Organise approved evidence packages in the shared repository.Qualification & Experience Qualification & Experience A bachelor’s degree in statistics, economics, agricultural economics, data science, agricultural sciences or related discipline, with substantial quantitative training. 2 years work experience. Practical experience analyzing agricultural or rural-development data and translating findings into programme or research decisions, with an understanding of smallholder farming conditions. Demonstrated ability to clean, manage and analyze quantitative datasets using Excel and at least one statistical or programming package such as R, Stata, Python or SPSS.

10 days ago

Data Scientist (fraud)

Moniepoint

Remote, kenya

Full Time

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere. About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. You are a data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems. Responsibilities: Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles. Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction. Size fraud typologies across our product lines to inform prioritization and investment decisions. Build and maintain anomaly detection systems to surface novel fraud vectors before they scale. Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations. Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime. Hands-on experience building and deploying machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency in Python and SQL; comfort working across the full model development lifecycle. An investigative instinct you enjoy digging into data to find patterns others miss. The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action. What Success Looks Like in This Role: Production-grade ML models and anomaly detection systems that effectively surface and mitigate novel fraud vectors before they scale. Well-designed experiments that successfully balance customer experience against fraud loss reduction. Clear sizing of fraud typologies that effectively drives product prioritization and strategic investment decisions. Seamless cross-functional alignment where technical model outputs are consistently translated into real-world fraud mitigations. Why Join Us? Culture: We put our people first and prioritize the well-being of every team member. We've built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. Compensation: You'll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. Originally posted on Himalayas

11 days ago