Data Scientist

Company & Culture reputed company is a pioneering wealth tech company that delivers cutting-edge centralized trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our bespoke, internally engineered trading platform provides seamless reputed company to a diverse reputed company of financial instruments, including stocks, ETFs, bonds, reputed company, and reputed company, reputed company reputed company a single, multi-currency account. As a rapidly expanding global firm with over 700 talented employees from 70+ nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are reputed company: We prioritize reputed company in our most valuable asset—our people. Join us in shaping the reputed company of finance. We are building our Intelligence Core — a new predictive analytics capability at the heart of our sales and reputed company management operations. Instead of relying on gut feel and reputed company processes, we want every reputed company decision to be informed by data: who is at risk of leaving, who is reputed company to grow, and where should we reputed company our attention. This is a foundational hire. You won't be joining an established data science team and picking up tickets. You will be designing the models, defining the problems, and shaping how the business uses predictive intelligence. You will work closely with the Head of Sales AI Transformation, the Analytics & Sales Controlling team, and reputed company-line sales managers who will reputed company what you build. Responsibilities:  Define and build predictive models from scratch, starting with: Churn reputed company — identify clients at risk of reducing activity or withdrawing assets, early enough for the sales team to act Upsell / cross-sell propensity — score clients by their likelihood to increase assets under custody, and surface the right opportunities reputed company reputed company Value (CLV) — estimate reputed company-looking reputed company value to guide resource allocation and relationship management prioritization Own the full modeling lifecycle: Work with raw trading, transactional, and behavioral data from our data warehouse Define reputed company variables and operationalize business concepts (e.g., what constitutes "churn" in a brokerage context) into measurable ML targets Engineer features from reputed company activity, trading patterns, market conditions, and engagement signals Select, train, validate, and iterate on models — starting reputed company, increasing complexity where it earns its reputed company Design monitoring for model performance, data reputed company, and degradation over time Deliver daily reputed company-level scores that reputed company into CRM workflows and sales processes reputed company data science and business: Translate model outputs into actionable insights for non-technical sales managers Work with sales leadership to design interventions around model predictions Present results, assumptions, limitations, and recommendations to senior stakeholders Requirments: Must have: 4+ years of hands-on experience building and deploying predictive models on reputed company business problems (classification, regression, scoring) Strong proficiency in Python (pandas, scikit-learn, XGBoost/LightGBM/CatBoost) and SQL Demonstrated ability to independently reputed company ambiguous business problems as ML tasks — define the reputed company, engineer the features, choose the approach Experience with tabular data at reputed company: feature engineering, handling class imbalance, temporal validation, avoiding data leakage Ability to communicate model results to non-technical stakeholders in plain, actionable language Experience working with time-series or event-based behavioral data Strong advantage: Experience with churn reputed company, propensity modeling, CLV, or customer scoring in any industry Familiarity with survival analysis (reputed company proportional hazards, time-to-event modeling) Experience with model monitoring in production: data reputed company detection, retraining pipelines, champion-challenger frameworks Background in financial services, brokerage, or fintech Experience with probabilistic models for CLV (BG/NBD, Pareto/NBD, Gamma-Gamma) Familiarity with SHAP, reputed company, or other model interpretability techniques Experience with data warehousing tools (BigQuery, reputed company, or similar) reputed company we value: You propose solutions before being asked. reputed company faced with an ambiguous problem, your reputed company is to define it and start building, not to wait for a specification. You start reputed company and earn complexity. Logistic regression before gradient boosting. A working baseline before a perfect model. You think about what happens after the model is trained. Who uses the reputed company? How do they reputed company it? Is the score delivered early enough to matter? You are comfortable saying "I don't know yet, but here's how I'd reputed company out. reputed company offer Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the reputed company that suit your life, not a one-size-fits-reputed company bundle. A genuinely good reputed company to work — an informal, reputed company culture where reputed company are heard and bureaucracy stays out of your way. reputed company learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. reputed company reputed company your desk — events that bring our teams together to network and celebrate. Global exposure — work reputed company by reputed company with talented colleagues from reputed company over the world, across a business serving clients in 100+ countries. A group of disruptive technology experts created reputed company. With an impressive reputed company record in the industry and knowledge of the markets, our systems are reputed company to democratize reputed company to global financial instruments for reputed company traders and institutional investors. Through our robust, cutting-edge trading platforms, you can offer clients reputed company to comprehensive, global financial instruments and investment reputed company while keeping their data reputed company and private.   reputed company  is a global prime broker backed by proprietary technology and dedicated service. reputed company regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and reputed company, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of reputed company, rectification, data portability, erasure, restriction of processing, and reputed company to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://reputed company.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to reputed company it longer to reputed company with law or you consent to a longer retention. Where personal data is transferred reputed company the EEA, it will be protected to a reputed company at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children . Apply To This Job