Data Scientist

Role SummarySLICIT is on the forefront of integrating Web 3 0 technologies into the asset management and fintech sectors We are seeking a Data Scientist with a pioneering spirit to harness vast datasets and apply analytical rigor in the realms of blockchain tokenization NFTs and other Web 3 0 concepts Your role will be instrumental in driving innovation through data-driven insights particularly in optimizing asset management strategies exploring fintech opportunities and leveraging real-world assets through digital transformation This position is tailor-made for someone who not only excels in technical and analytical capacities but also brings a wealth of business experience and industry knowledge in asset management fintech and the burgeoning field of digital assets Reporting to Chief Technology Officer Employment Type Full-TimeEssential Qualifications and SkillsMachine Learning and AI ExpertiseThe ideal candidate will possess a robust foundation in both theoretical and practical aspects of machine learning ML and artificial intelligence AI with a particular emphasis on applications within the financial sector You should have hands-on experience designing implementing and validating a wide range of ML models from traditional algorithms like Linear Regression Decision Trees and Clustering to more advanced techniques including Neural Networks Natural Language Processing NLP and Reinforcement LearningKnowledge of Tools and FrameworksProficiency in using Python libraries such as Scikit-learn for machine learning model development and TensorFlow or PyTorch for deep learning applications Experience with NLP tools like NLTK or spaCy to derive insights from textual data which is particularly relevant in analyzing market sentiment or financial news Familiarity with reinforcement learning frameworks such as OpenAI Gym which can be applied to develop sophisticated trading algorithms that adapt and learn from the market s dynamics A track record of employing AI-driven analytics to forecast market trends optimize investment portfolios or enhance customer personalization and engagement in fintech solutionsDemonstrated ImpactEvidence of past projects where your ML and AI expertise directly contributed to significant business outcomes such as improved investment returns risk reduction operational efficiencies or customer satisfaction enhancements The ability to quantify the impact of your work e g percentage increase in investment performance reduction in risk exposure will be highly valuedProgramming and Data Manipulation ProficiencyAdeptness in programming and data manipulation critical for analysing complex datasets and developing scalable solutionsCore Programming LanguagesProficiency in Python is essential given its widespread use in data science for everything from data manipulation with Pandas to complex machine learning with libraries like TensorFlow and scikit-learn Expertise in R is also valuable particularly for statistical analysis and visualization Knowledge of SQL is crucial for querying databases and manipulating data stored in SQL databasesData Manipulation Tools and TechniquesCandidates should demonstrate expertise in handling large datasets employing techniques and tools for data cleaning transformation and aggregation Experience with Python libraries such as NumPy and Pandas or R packages like dplyr and tidyr is expectedVersion Control and CollaborationFamiliarity with version control systems notably Git is necessary for efficient collaboration within a team This includes managing code repositories branching merging and handling pull requests in platforms like GitHub or GitLabAdvanced Analytical and Statistical SkillsExpertise in statistical analysis predictive modeling and data mining with a proven track record of leveraging these skills to drive business decisionsEducationA Master s or PhD in Data Science Computer Science Mathematics Statistics or related field with ideally coursework or projects focused on finance blockchain or digital assetsNice-to-Have SkillsProgramming and Data Manipulation Proficiency in Scala or Javawould be a plus tailored towards data science applications in finance and asset managementBig Data TechnologiesFamiliarity with big data frameworks and cloud computing environments enhancing data processing and analysis capabilitiesDeep Learning ProficiencyKnowledge of deep learning applications in finance such as predictive analytics for market trends or customer behaviour analysisData Visualisation SkillsCompetence in using tools like Tableau or Power BI for creating intuitive data visualisations that convey complex information to stakeholdersBusiness Experience and Industry KnowledgeSome experience in asset management fintech or related sectors with a keen understanding of market dynamics regulatory environments and the potential of digital transformation through Web 3 0 technologiesBlockchain and Web 3 0 TechnologiesDeep understanding of blockchain fundamentals smart contracts to