Assistant Manager – Analytics

🕒 August 3

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

👻 Ghost score 36%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mashreq

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1967

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

Mashreq is a leading financial institution based in the UAE, offering a wide range of banking services including personal, corporate, and investment banking. The bank focuses on providing innovative financial solutions to its customers and has a strong digital banking presence.

📋 Description

• Analyze liability portfolios for revenue opportunities • Proactively develop new analytical ideas • Recommend new strategies, secure business stakeholder buy-in, and own delivery end to end from an analytics perspective • Execute portfolio management strategies and track results for continuous improvement • Present results to senior management • Create statistical models to enable better decision-making • Derive insights about customer segments and behavior patterns • Conduct ad hoc analysis and present results clearly • Generate and track cross-sell leads as a business strategy • Participate in business prioritization meetings and deliver against plan • Develop and deploy machine learning models for customer segmentation, churn prediction, next-best-product recommendations, and campaign targeting • Evaluate digital campaign performance using advanced analytics and AI-driven insights • Build models for campaign targeting, customer propensity, and marketing attribution • Support design and development of LLM-powered digital banking solutions • Integrate AI models and APIs into banking platforms and analytics workflows • Extract, clean, and transform datasets from banking systems and digital platforms • Develop feature engineering strategies and collaborate with data engineering teams on data pipelines • Work with digital banking, marketing, and product teams to identify opportunities and translate requirements into actionable insights

🎯 Requirements

• Overall 9.0 years of experience in analytics in a Fintech and/or Retail Banking environment • 6+ years of hands-on experience in liability portfolio management analytics • Experience with SAS, Python, and R • Proficiency in SQL • Good applied statistics skills, including distributions, statistical testing, and regression • Strong experience with statistical model development techniques including decision trees, logistic regression, neural networks, and clustering • Good scripting and programming skills • Strong verbal and pictorial presentation skills preferred • Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or a related quantitative field • Experience with machine learning algorithms including regression, classification, clustering, and recommendation systems • Experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM • Understanding of Large Language Models (LLMs) and their applications • Experience with LLM APIs and frameworks such as OpenAI APIs or LangChain • Basic knowledge of prompt engineering, embeddings, and retrieval-augmented generation (RAG) • Familiarity with developing AI-enabled applications such as chatbots or knowledge assistants • Experience with Pandas, NumPy, PySpark, or Spark • Familiarity with Google Analytics, Adobe Analytics, or similar tools • Experience analyzing customer digital behavior and clickstream data • Ability to build dashboards and visualizations using Power BI, Tableau, or similar BI tools