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Deeplight

Coherent, compact lasers for space LiDAR

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeDubai - United Arab EmiratesNo salary listed

About the Job

Requirements

  • Hands-on experience developing statistical risk models or quantitative frameworks within corporate banking, wholesale banking, or treasury environments.
  • A strong theoretical and practical understanding of the quantitative, mathematical, and probabilistic concepts underlying machine learning and statistical tools, beyond high-level library calls.
  • Strong proficiency in Python and its scientific computing ecosystem, including NumPy, SciPy, Pandas, Scikit-learn, Statsmodels, PyTorch, and TensorFlow.
  • Solid working knowledge of the Basel III/IV framework, regulatory capital calculations, and banking stress testing protocols.
  • Strong analytical problem-solving skills, rigorous attention to detail, and the ability to explain complex statistical trade-offs clearly to technical and business audiences.
  • A Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Quantitative Finance, or a related quantitative discipline.

Responsibilities

  • Design and implement statistical risk models for corporate lending, wholesale banking, liquidity management, and treasury operations, including Probability of Default, Loss Given Default, and Exposure at Default architectures.
  • Build analytical modules for Risk-Adjusted Return on Capital and Risk-Adjusted Capital optimization frameworks to help business lines maximize risk-adjusted returns.
  • Apply Basel requirements, stress testing frameworks, and regulatory capital rules to ensure model designs conform to global and regional banking standards.
  • Write clean, modular, and well-documented Python code and participate in peer code reviews to maintain scientific and software engineering standards across engagement squads.
  • Partner with client risk officers, business analysts, and technical leads to decompose complex requirements, present quantitative findings, and defend model methodologies.
  • Build trust with high-level stakeholders, explain the rationale behind technical decisions, and advocate for technical solutions.

Desired Qualifications

  • Experience running experiments and performing causal analysis for high-stakes financial decisions.
  • Familiarity with Transformers and sequence models for financial sentiment analysis and time-series forecasting.
  • Hands-on experience using PySpark, Spark, or Dask to process and train models on petabyte-scale enterprise data lakes.
  • Skill in creating interactive data narratives and dashboards using tools such as Streamlit and Plotly to communicate findings to executive audiences.

About the Company

Deeplight

Coherent, compact lasers for space LiDAR

DeepLight develops highly coherent, compact lasers tailored for space research and laser technology applications. Its lasers span the visible and near-infrared spectrum and feature exceptional frequency agility to support advanced applications, including long-range coherent LiDAR. The products rely on a combination of compact light sources and integrated photonics, including MEMS-based ultrafast acousto-optic modulation, enabling fast, precise control of laser light. Unlike many competitors, DeepLight emphasizes tight coherence, high linearity, and integration with MEMS for rapid modulation, supported by collaborations with major space agencies like the European Space Agency and revenue streams from technology sales and tech-transfer funding. The company's goal is to commercialize its laser technology for space research, communication protocols, and fibre sensing, accelerating the deployment of next-generation laser sources in science and industry.

Company size
11-50
Company stage
Debt Financing
Total funding
$90K
Headquarters
Saint-Sulpice, Switzerland
Founded
2021

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