We are seeking a Data Operations Analyst to support Numerix SaaS clients by monitoring market data generation processes used by Numerix Financial Systems to ensure the integrity and the quality of market data as part of Numerix Data Management (NXDM) framework. This role involves technical and functional support, incident management, and coordination with clients and internal teams (P&E, PS, etc.), contributing directly to operational excellence and client satisfaction. 

This role sits at the intersection of market finance and technology, requiring a strong process oriented mindset with familiarity on market finance concepts to support risk analytics, to ensure flawless execution of workflows reporting generation and delivery.  It demands technical curiosity, good to strong troubleshooting skills, and ownership to deliver operational excellence for our SaaS clients in a dynamic, fast-paced environment.

 
What You'll Do:

• Define, implement, and execute standard operating procedures for Numerix clients’ market data operation processes. 
• Perform daily monitoring and verification of market data deliveries—including scheduled intraday and end-of-day snapshots for multiple clients—by checking the success or failure of runs, batch processes, and data feeds to ensure operational integrity and SLA compliance. 
• Enhance existing processes through optimization and automation of manual checks. 
• Respond to daily requests for operational support activities related to market data queries, raised by both our clients and internal groups. 
• Monitor, triage, and resolve technical and data quality issues related to Numerix data feeds, escalating to developers, vendors, or other stakeholders as needed. 
• Engage with vendors to address inquiries related to market data availability, delivery, or quality. 
• Coordinate NXDM releases and production patch deployments with clients, and support development teams in executing and validating parallel runs. 
• Act as Incident Manager in accordance with incident management policies for market data incidents, Leading Post-Mortem review and root cause analysis to drive continuous improvement. 
• Assist Numerix clients (financial institutions) with our API platform for market data related issues and queries.
   

What We're Looking For:

• Bachelor’s degree from a leading engineering university, or equivalent professional experience. 
• Good experience in Python for ad-hoc data analysis and automating manual processes. 
• Proficiency in Microsoft Excel; Knowledge of SQL is preferable. 
• Proficiency in Microsoft Excel; practical exposure to SQL is beneficial for the role. 
• Understanding of exchange-traded and OTC derivatives (e.g., forwards, futures, options) across multiple asset classes, including IR, commodities, credit, equities, and FX. Familiarity with financial concepts such as volatility and beta is advantageous.
• Working Knowledge of Cloud Services, ideally AWS (Step Functions, Lambda, EC2, DynamoDB, etc.) is a plus.
• Strong troubleshooting abilities and good English communication skills. 
• Willingness to work in Eastern USA shift hours when required (3:00 PM to 11:30 PM MST). 

 
Extra Credit:

• Understanding of multiple asset classes (IR, Commodities, Credit, Equities, FX). 
• Ability to use Excel, Python and SQL for ad-hoc data analysis and investigation of market data issues.
   

Where You’ll Work:

This is a hybrid role, open to all who reside within a commutable distance from Casablanca, Morocco.  IMPORTANT: The successful candidate must be able and willing to work during USA's Eastern Time Zone (3pm - 11.30pm WET).

An important note on language:

We will only consider CVs written in English. All interviews will be conducted in English, and candidates must demonstrate business fluency in the language.

An important note on salary:

The annual pay range for this position is based on the preferred primary location of the role which is listed above. If you are applying to this role at a location that is not the preferred primary location, please keep in mind the salary range will vary and may fall outside of what is listed. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Also note that unsolicited contact from third-party recruiters or agencies will not be considered at this time. We respectfully request no outreach from agencies.

📊 Data Analyst (H/F) – CDI

CAPFI recrute pour l’un de ses clients – Acteur du secteur micro-finance et inclusion financière

À propos de CAPFI

CAPFI accompagne des organisations dans le recrutement de talents data et transformation digitale. Nous recherchons pour l’un de nos clients un(e) Data Analyst en CDI. Notre client est un acteur engagé dans la micro-finance et l’inclusion financière, utilisant la donnée pour renforcer ses dispositifs à impact social.

🎯 Mission principale

Collecter, analyser et interpréter les données pour fournir des insights pertinents et soutenir la prise de décision stratégique et opérationnelle.

🛠️ Responsabilités clés

Collecte et traitement des données

• Collecter des données internes et externes pertinentes pour les équipes

• Garantir la qualité, l’intégrité et la cohérence des données

• Intégrer et consolider des sources variées (ERP, CRM, fichiers Excel, bases SQL…)

Analyse et interprétation

• Identifier tendances, anomalies et opportunités à partir des données

• Élaborer modèles statistiques et rapports analytiques

• Fournir des recommandations pour améliorer la performance de l’organisation

Reporting et visualisation

• Créer et maintenir des dashboards interactifs (Power BI, Tableau, Qlik…)

• Produire des rapports réguliers pour la direction et les équipes métiers

• Présenter les résultats de manière claire pour des non-spécialistes

Support à la décision & amélioration continue

• Collaborer avec marketing, finance, production et équipes commerciales

• Participer à la définition des KPI et objectifs de performance

• Proposer des solutions d’automatisation et d’optimisation des processus

👤 Profil recherché

Formation

• Bac+3 à Bac+5 en Statistiques, Mathématiques, Informatique, Data Science ou équivalent

Expérience

• Minimum 2 ans en analyse de données, reporting ou business intelligence

Compétences techniques

• Power BI, Tableau, Qlik

• SQL, Excel avancé, Python ou R

• Connaissance des bases de données et systèmes ERP/CRM

• Statistiques et modélisation de données

Qualités personnelles

• Esprit analytique et rigoureux

• Capacité à synthétiser et communiquer des informations complexes

• Autonomie, curiosité et travail en équipe