Silent Eight

• Go to the field: talk to users, shadow their workflows, capture the as‑is → goals & constraints. • Define hypotheses & KPIs (precision/recall, FPR, TAT, coverage, cost/decision) and turn them into experiment plans. • Design decision flows that mix LLMs, retrieval/RAG, classical ML, and lightweight rules; ensure explainability and auditability. • Build quick prototypes (notebook → lightweight service/API) and measure their impact on real data. • Create evaluation sets and scoring rubrics (offline + side‑by‑side + sanity checks + guardrails). • Present findings & recommendations directly to decision‑makers; propose rollout (pilot → production‑lite → scale). • Lead innovation processes across the company; test, promote solutions and mentor others with new AI technologies.

Role Description As a Senior Data Scientist, you will play a dual role: technical leader and strategic partner to customers and internal teams. - Lead complex R&D initiatives: drive research and innovation in LLMs, NLP, machine learning, and graph analytics, turning advanced techniques into production-grade solutions. - Own the full data science lifecycle: from discovery, framing, and exploration to deployment, customer delivery, and long-term monitoring. - Shape ambiguous challenges into well-defined problem statements and design practical, state-of-the-art solutions aligned with business and regulatory needs. - Engage directly with customers and stakeholders: collaborate to co-design use cases, set success metrics, and ensure solutions are adopted, measurable, and impactful. - Mentor and guide peers: elevate technical excellence, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment. - Prototype rapidly: explore new ideas and validate hypotheses quickly, while balancing innovation with scalability and maintainability. - Ensure production success: design, implement, and optimize pipelines for data integration, validation, monitoring, and retraining to sustain long-term model performance. - Communicate effectively: distill technical complexity into compelling business insights, helping stakeholders make informed decisions. - Champion excellence in execution: enforce best practices in MLOps, DataOps, and software engineering to deliver reproducible, maintainable, and scalable solutions. - Continuously improve tooling and processes that accelerate delivery, experimentation, and collaboration across the data science function. Qualifications - Must be based in Singapore (remote-first team; flexible working environment). - Bachelor’s degree, Master or PhD in Data Science, Computer Science, Statistics, or related field. - 6+ years of hands-on experience delivering data science projects from research to production, ideally in mission-critical domains. - Proven expertise with LLMs and modern NLP frameworks (LangChain, LlamaIndex, OpenAI APIs, HuggingFace, etc.). - Strong foundation in machine learning, graph analytics, anomaly detection, and unstructured data workflows. - Advanced proficiency in Python and SQL with a track record of writing clean, modular, testable, and production-ready code. - Experience with large-scale data platforms (e.g., PySpark, BigQuery) and scalable ML deployments. - Solid knowledge of MLOps and DataOps, including CI/CD, monitoring, retraining, and reproducibility. - Comfortable in Linux, Git, Docker, and modern collaboration workflows. - Exceptional communication and stakeholder management skills: able to translate technical insights into business outcomes and influence at all levels. - Proven ability to drive measurable impact: balancing state-of-the-art research with practical, customer-driven implementation. - A mindset of ownership, flexibility, and resilience: you adapt quickly, handle ambiguity, and are committed to delivering results. Benefits - Competitive salary — 150,000 - 170,000 SGD per year - Equity participation — stock options that grow with us as we scale globally - Quarterly wellness allowance — spend it your way - Learning & development budget — training, conferences, and dedicated Development Days with our AI/ML team - The backing of a proven platform — AI already running in production at HSBC and Standard Chartered, so you're building something that works Company Description At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place!

• Draft, review, and negotiate a broad range of commercial agreements, including NDAs, MSAs, software license and implementation agreements, DPAs, and support/maintenance contracts. • Provide timely, business-oriented legal advice to internal stakeholders (Sales, Product, Partnerships, Finance) and help balance risk with commercial objectives. • Oversee and implement compliance frameworks, draft and maintain global policies, and ensure adherence to data protection regulations (GDPR and other relevant jurisdictions). • Support the management of patents, trademarks, software, and licensing frameworks, while advising on IP protection and enforcement. • Advise on international legal matters and coordinate with local counsel when needed across Asia-Pacific, the UK, Europe, and the US. • Monitor developments in technology law, privacy, and AI regulations, and provide guidance on their impact on Silent Eight’s business.

Oto kompletna finalna wersja: Enterprise Sales Director – United States NYC About Us Silent Eight has been a trusted partner to the world's largest financial institutions for years — with AI running in production across global banks including HSBC and Standard Chartered. We automate compliance decisions that stop money laundering and terrorism financing, at scale and in production. We're expanding our US footprint and looking for the person to lead it. The Role You'll report directly to our CEO and own the full go-to-market for Tier 1 and Tier 2 financial institutions across the United States — from pipeline to close. We're looking for someone based in or near New York City. As the territory grows, so does your role. What You'll Do - Drive multi-million dollar, multi-year deals through complex, multi-stakeholder sales cycles - Act as a strategic advisor to CROs and CCOs, aligning AI capabilities with their regulatory and risk priorities - Work with product and executive leadership to shape proposals that win - Collaborate with our teams in Asia and Europe on global accounts with US presence What We're Looking For - 5+ years in enterprise sales, with 3+ years closing complex enterprise-grade software or high-stakes business solutions - Experience selling into regulated financial institutions - Domain knowledge in AML, FinCrime, or RegTech — strongly preferred - Ability to make sophisticated AI commercially tangible for non-technical buyers - Comfortable across global time zones; willing to travel Compensation - OTE: $300,000–$400,000 (base + variable) — per NYC Local Law 32 - Equity in the company - New York City preferred; remote-flexible Process - People Ops — intro (30 min) - Hiring Manager — sales strategy (45 min) - CEO conversation (30 min) - Panel presentation — enterprise case study

• Lead complex R&D initiatives: drive research and innovation in LLMs, NLP, machine learning, and graph analytics, turning advanced techniques into production-grade solutions. • Own the full data science lifecycle: from discovery, framing, and exploration to deployment, customer delivery, and long-term monitoring. • Shape ambiguous challenges into well-defined problem statements and design practical, state-of-the-art solutions aligned with business and regulatory needs. • Engage directly with customers and stakeholders: collaborate to co-design use cases, set success metrics, and ensure solutions are adopted, measurable, and impactful. • Mentor and guide peers: elevate technical excellence, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment. • Prototype rapidly: explore new ideas and validate hypotheses quickly, while balancing innovation with scalability and maintainability. • Ensure production success: design, implement, and optimize pipelines for data integration, validation, monitoring, and retraining to sustain long-term model performance. • Communicate effectively: distill technical complexity into compelling business insights, helping stakeholders make informed decisions. • Champion excellence in execution: enforce best practices in MLOps, DataOps, and software engineering to deliver reproducible, maintainable, and scalable solutions.

• Develop and maintain Python-based applications and tools that support our AML solutions • Implement, optimize, and deploy machine learning models, including large language models, to enhance our product capabilities • Collaborate with data scientists and cross-functional teams to integrate machine learning models into production systems • Design and implement data integration, validation, and quality check frameworks • Work on the entire machine learning pipeline, from data preprocessing to model deployment and monitoring • Create quick prototypes and present them to customers and internal stakeholders to drive product development • Analyze and process large-scale structured and unstructured data sets to support machine learning initiatives • Ensure the robustness, scalability, and efficiency of the developed applications and models • Provide technical support and troubleshoot issues related to machine learning models and Python applications • Follow best practices in coding, MLOps, and DataOps • Assist other teams in delivering proof-of-concept projects

• Lead data exploration and analysis on large scale financial crime datasets — including sanctions, PEP (Politically Exposed Persons), and adverse media data — to uncover patterns, identify false positives/negatives, and drive feature improvements. • Develop and evaluate agents and rule-based models by running experiments, validating hypotheses, and fine-tuning thresholds to improve alert efficiency. • Build and deliver production-ready API integrations — coordinating with software engineers and product teams to ensure components are properly integrated, tested, and merged. • Conduct customer-focused data studies across multiple enterprise clients (e.g., financial institutions) to benchmark model performance, assess data quality, and propose data driven solutions to reduce investigation loads. • Prototype and iterate quickly — using PySpark, Jupyter notebooks, and Python to explore data, build reproducible pipelines, and generate insights that inform product decisions. • Investigate and resolve product issues in collaboration with engineering and product teams. • Contribute to R&D on emerging techniques — including graph-based approaches (GNNs, graph embeddings) for transaction monitoring, LLM-based feature exploration, and RAG-based models. • Communicate findings clearly through well-organized Jupyter notebooks, internal documentation, and stakeholder presentations, translating complex analytical results into actionable business insights.

• Deploy and configure Silent Eight solutions in customer environments (SIT, UAT, PROD) • Troubleshoot and resolve technical issues (including escalated service desk tickets) • Perform Root Cause Analysis (RCA) • Collaborate with Solution Architects, Project Managers, and client IT teams • Participate in optimizing internal processes and tooling • Support DevOps-related tasks, including CI/CD automation • Contribute to the creation and maintenance of technical documentation • Be flexible to support urgent escalations (Severity 1 incidents) outside of regular business hours

Job Title: Alpha-1 Antitrypsin Deficiency (AATD) Thought Leader Liaison (TLL)- Florida Location: Remote/Field- Florida About the Job Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs. Sanofi’s Alpha-1 Antitrypsin Deficiency (AATD) Thought Leader Liaison (TLL) is a field-based commercial role that: (1) leverages data to seamlessly identify and profile customers, (2) coordinates HCP peer-to-peer and patient programming, as well as (3) gathers insights across customer groups to inform commercial strategy and execution. The TLL is expected to possess a high level of knowledge regarding the AATD landscape and compliance to be successful in engaging customers, while adhering to all pharma, field, and headquarters protocols and procedures when engaging customers. The TLL engages key opinion leaders (KOLs) on the AATD speaker bureau to provide education to HCPs and patients, the latter of which is enabled by patient advocacy groups (PAGs). This role closely collaborates with internal customer-facing teams to ensure a One Sanofi approach, as well as with HQ teams, working within approved SOPs. The TLL directly reports through the US HQ Commercial organization to the AATD TLL Head, and succeeds through exceptional strategic planning, communication, collaboration, and flawless execution. At launch, Sanofi expects this role to transition into an HCP-facing Sales role, including transitioning to quarterly incentive compensation eligibility. About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. Main Responsibilities : All TLL interactions are consistent with compliance, legal, privacy, and regulatory guidelines. KOL Engagement and Advocacy Development Uses segmentation to engage KOLs, HCPs, and patients per SOPs Aligns closely with HCP/account and patient marketing teams and patient advocacy organizations to compliantly engage HCP and patient communities Serves as a single point of contact to resolve stakeholder issues related to education programs HCP Peer-to-Peer Program and Patient Program Execution Coordinates outreach to KOLs, HCPs, and PAGs to deliver HCP P2P and patient programs Plans and executes HCP P2P programs: in-office events, conferences/congresses, and webinars Plans and executes patient educational programs: lunch/dinner programs, conferences/congresses, and webinars, in partnership with approved vendors and advocacy groups Leads planning, execution, and pull-through of in-practice programs; manages logistics, invitations, attendance, and follow-up Insights and Advisory Facilitates cross-functional planning, recruitment, and execution of regional/national advisory boards; capture and report feedback Provides competitive and market intelligence derived from compliant interactions Speaker/Ambassador Bureau Operations and Content Reviews approved marketing content with currently contracted speakers; contributes to the identification and nomination of future speakers Attends programs to observe, coach, and remediate as needed for compliant execution. Partners with HQ to provide input to content, and to reflect updated materials in ongoing programs Manages reporting on program KPIs and field execution; optimize scheduling and utilization of high-volume speakers/ambassadors Conference and Event Engagement Plans and executes stakeholder engagements and executive encounters at local, regional, and national congresses, webinars, and field visits Compliance, Governance, and Reporting Adheres to all company policies, SOPs, PhRMA Code, OIG guidance, and privacy requirements related to HCP and patient interactions About You Bachelor’s degree required Experience in pulmonology/rare respiratory disease, launches, rare communities, strongly preferred Strong network development abilities, with a track record of establishing connections, referrals, and infrastructure for key accounts Established understanding of pulmonologists, primary care physicians, allergists/immunologists, and care teams requested Minimum 5 years in at least one of the following areas: HCP education, patient education, KOL engagement, patient advocacy group (PAG) engagement Sales experience with proven results (preferably in the pharmaceutical or healthcare industry, with a focus on rare diseases or specialized therapeutic areas preferred) Demonstrated success executing HCP peer-to-peer (P2P) and patient programs (live and virtual) with strong project management and logistics skills Practice developing and executing meetings, training, programs, as well as strategic and tactical plans Familiarity with AATD care pathways (e.g., diagnosis, genetic testing, multidisciplinary management) preferred Proven leadership, executive presence, and cross-functional collaboration skills Excellent communication and presentation abilities; strong organization and analytical planning Ability to manage multiple projects under tight timelines; proficiency with CRM and reporting tools Have valid driver’s license Must reside within the geographic area of the assigned territory, or within a reasonable distance as determined by leadership Ability to travel 60-80%; could be less depending on geography Eligible for STI only (pre-launch); IC eligible (at launch), as Sanofi expects this role to transition into an HCP-facing Sales role Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or a lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave. This position is eligible for a company car through the Company’s FLEET program. Candidates must complete all fleet safety training and must maintain an acceptable driving record regarding accidents and incidents. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SG #LI-GZ #LI-Remote #vhd Pursue progress , discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $146,250.00 - $211,250.00 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

• Assist with the designing and execution of the global Account Management blueprint, helping to develop a service-led model which drives both client satisfaction and revenue that includes quotas for expansion and retention. • Own and expand Net Revenue Retention (NRR) for a high-value portfolio of London-based Tier-1 banks. • Deliver a service-led, relationship with allocated accounts, furthering deep partnerships with stakeholders at these institutions. • Lead regular, onsite reviews to align Silent Eight’s AI roadmap with the client’s strategic initiatives and financial misconduct prevention goals. • Proactively identify 'Revenue at Risk' and implement Revenue Save Plans to protect the region’s Gross Revenue Retention (GRR). • Serve as the 'voice of the customer' for the UK market, providing Product and Marketing teams with data-driven insights on product performance and market receptivity. • Build a feedback loop with Product, Sales, and Marketing to ensure the voice of the customer drives the product roadmap. • Partner with the Integrations and Support teams to refine the 'Onboarding-to-Production' journey.