afc modelling - data scientist - associate - vice president

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afc modelling - data scientist - associate - vice president Jobs in New York

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ai enablement business analyst, senior

senior data scientist

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p>
Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Sr. Data Scientist to lead and participate in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems. Duties include: Designs systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems. Defines data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions. Designs and develops data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data. Applies data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making. Develops and implements analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance. Collaborates with stakeholders across the organization, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions. Delivers presentations and consultative services to existing and prospective constituents on data analytics results and solutions. Improves professional data science knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages. Helps establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices. Hybrid Position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required. Multiple positions. Requirements: Master&rsquo;s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Business Analytics, Computer Science and Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: &bull; Programming in SQL, Python, or R; &bull; Docker, Kubernetes, JIRA, Rally, or Confluence; &bull; Hive, Cassandra, Pig, MySQL or NoSQL; &bull; PowerBI or Tableau; &bull; Machine learning, statistical analysis, and predictive modeling; &bull; Domain support for healthcare or retail organization; &bull; Relational database concepts; &bull; Contributing to largescale applications development, data science, or data analytics projects; &bull; Data analytics on large data sets in healthcare, business, or retail sector; &bull; Designing data models and solutions for analytical and reporting use cases; &bull; Machine learning algorithms; &bull; End-to-end data science lifecycle/workflow; &bull; Developing data and analytics-based platform capabilities, services, or products; &bull; Supporting large data, analytics, and technology modernization initiatives; &bull; Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; and &bull; Quantitative analysis techniques, including clustering, regression, and pattern recognition. Pay Range: $111240.00/year to $222480.00/year.<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.<br>
<br>
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.<br>
<br>
<b>Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Scientist

Hinge

<div><div><div><b>Hinge is the dating app designed to be deleted</b></div><div></div><div><br>
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we&rsquo;re on a mission to inspire intimate connection to create a less lonely world. We&rsquo;re obsessed with understanding our users&rsquo; behaviors to help them find love, and our success is defined by one simple metric&ndash; setting up great dates. With millions of users across the globe, we&rsquo;ve become the most trusted way to find a relationship, for all.</div><div></div><div><b><br>
About the Role</b></div>
<div></div>
<div>Hinge is seeking a versatile Senior Data Scientist to work on product development initiatives on our Matching team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you as data scientists at Hinge will inform and evaluate product feature development and strategy. In turn, your work will deeply influence how millions of Hinge members use the app and connect with each other.</div>
</div><div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div><div><ul>
<li>
<p>Collaborate with a cross-functional team of product managers, researchers, designers and engineers to develop and iterate on product features and strategy</p>
</li>
<li><p>Translate product objectives to data science problems and vice versa</p>
</li>
<li><p>Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy</p>
</li>
<li><p>Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems</p>
</li>
<li><p>Collaborate with AI team to develop, iterate, and test production models (e.g., targeting)</p>
</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What We're Looking For</b></h3><div><div><ul>
<li>
<p>5+ years of experience as data scientist</p>
</li>
<li><p>Experience with A/B testing</p>
</li>
<li><p>Strong working knowledge of SQL and Python (R is acceptable but we use Python at Hinge)</p>
</li>
<li><p>Strong knowledge of statistics and machine learning</p>
</li>
<li><p>Superb communication skills</p>
</li>
<li><p>Ability to balance rigor with practicality</p>
</li>
<li><p>Deep sense of intellectual curiosity</p>
</li>
<li><p>Excellent collaboration skills and a track record of cross-functional influence</p>
</li>
</ul></div></div></div></div><div><div>$186,000 - $223,000 a year</div><div>
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.</div></div>
<div><div><b>As a member of our team, you&rsquo;ll enjoy:</b></div><div></div><div><b><br>
401(k) Matching:</b> We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.</div><div></div><div><b><br>
Professional Growth: </b>Get an annual Learning &amp; Development stipend once you&rsquo;ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.</div><div></div><div><b><br>
Parental Leave &amp; Planning:</b> When you become a new parent, you&rsquo;re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)</div><div></div><div><b><br>
Fertility Support:</b> You&rsquo;ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.</div><div></div><div><b><br>
Date Stipend:</b> All Hinge employees receive a $100 monthly stipend for epic dates&ndash; Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.</div><div></div><div><b><br>
ERGs:</b> We have eight Employee Resource Groups (ERGs)&mdash;Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents &mdash;that hold regular meetings, host events, and provide dedicated support to the organization &amp; its community.</div><div></div><div><b><br>
At Hinge, our core values are&hellip;</b></div><div></div><div><b><br>
Authenticity:</b> We share, never hide, our words, actions and intentions.</div><div></div><div><b><br>
Courage:</b> We embrace lofty goals and tough challenges.</div><div></div><div><b><br>
Empathy:</b> We deeply consider the perspective of others.</div><div></div><div><b><br>
Diversity inspires innovation</b></div><div></div><div><br>
Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.</div><div></div><div><b><i><br>
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.<br>
</i></b></div><div></div><br>
<div><i>#Hinge</i></div></div>
<div><div>.</div></div></div>

Senior Data Scientist, Matching

Fusemachines

<div>
 <strong>
  About Fusemachines
  <br/>
  <br/>
 </strong>
 Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 <br/>
 <br/>
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
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 <strong>
  Type: Full-time, Remote
  <br/>
  <br/>
 </strong>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You&rsquo;ll work across the ML lifecycle&mdash;from problem framing and data exploration to model development, evaluation, deployment, and monitoring&mdash;often in partnership with client stakeholders and internal delivery teams.
 <br/>
 <br/>
 You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems.
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 <br/>
 <strong>
  Key Responsibilities
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  <br/>
 </strong>
 <ul>
  <li>
   Problem Framing &amp; Stakeholder Partnership
  </li>
  <ul>
   <li>
    Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)
   </li>
   <li>
    Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)
   </li>
  </ul>
  <li>
   Data Analysis &amp; Feature Engineering
  </li>
  <ul>
   <li>
    Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses
   </li>
   <li>
    Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices
   </li>
   <li>
    Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions
   </li>
  </ul>
  <li>
   Model Development (Core ML)
  </li>
  <ul>
   <li>
    Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)
   </li>
   <li>
    Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation
   </li>
   <li>
    Build time series models (statistical and ML/DL approaches) and validate with proper backtesting
   </li>
   <li>
    Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness
   </li>
   <li>
    Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making
   </li>
  </ul>
  <li>
   Deep Learning
  </li>
  <ul>
   <li>
    Build and train deep learning models using PyTorch or TensorFlow/Keras
   </li>
   <li>
    Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)
   </li>
  </ul>
  <li>
   Evaluation, Explainability, and Iteration
  </li>
  <ul>
   <li>
    Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports
   </li>
   <li>
    Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence
   </li>
  </ul>
  <li>
   Productionization &amp; MLOps (Project-Dependent)
  </li>
  <ul>
   <li>
    Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration
   </li>
   <li>
    Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans
   </li>
  </ul>
  <li>
   Documentation &amp; Communication
  </li>
  <ul>
   <li>
    Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders
   </li>
   <li>
    Create documentation and lightweight demos that make results actionable
    <br/>
   </li>
  </ul>
 </ul>
 Success in This Role Looks Like
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  <li>
   You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)
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  <li>
   Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring
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  <li>
   Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly
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   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)
  </li>
  <li>
   Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)
  </li>
  <li>
   Strong SQL skills (joins, window functions, aggregation, performance awareness)
  </li>
  <li>
   Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset
  </li>
  <li>
   Hands-on experience across multiple model types, including:
  </li>
  <ul>
   <li>
    Classification &amp; regression
   </li>
   <li>
    Time series forecasting
   </li>
   <li>
    Clustering/segmentation
   </li>
  </ul>
  <li>
   Experience with deep learning in PyTorch or TensorFlow/Keras
  </li>
  <li>
   Strong problem-solving skills: ability to work with ambiguous goals and messy data
  </li>
  <li>
   Clear communication skills and ability to translate analysis into decisions
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   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)
  </li>
  <li>
   Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)
  </li>
  <li>
   Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)
  </li>
  <li>
   Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)
  </li>
  <li>
   Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)
  </li>
  <li>
   Consulting or client-facing delivery experience
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   <br/>
  </li>
 </ul>
 <strong>
  Certifications (Strong Plus)
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  <br/>
 </strong>
 Candidates with at least one relevant certification are especially encouraged to apply:
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 <ul>
  <li>
   Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks)
  </li>
  <li>
   Databricks certifications (Data Scientist, Data Engineer, or related)
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  </li>
 </ul>
 <strong>
  Nice-to-Have
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  <br/>
 </strong>
 <ul>
  <li>
   Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)
  </li>
  <li>
   Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products
  </li>
  <li>
   Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  <em>
   Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
   <br/>
   <br/>
  </em>
 </em>
 Important: Immigration Sponsorship Policy
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 <br/>
 Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:
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 <br/>
 <ul>
  <li>
   Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
  </li>
  <li>
   Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
  </li>
  <li>
   Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
   <br/>
   <br/>
  </li>
 </ul>
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 qUN1H2divA
</div>


Machine Learning Engineer / Data Scientist

Verition Fund Management LLC

<div>
 Verition Fund Management LLC (&ldquo;Verition&rdquo;) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility &amp; Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short &amp; Capital Markets Trading, and Global Quantitative Trading.
 <br/>
 <br/>
 We are seeking a highly motivated and technically strong Data Scientist to join the centralized Long/Short Equity team at a leading multi-strategy hedge fund. This team partners directly with portfolio managers and analysts across the L/S Equity business to identify, evaluate, and deploy data-driven insights that enhance investment decision-making and alpha generation.
 <br/>
 <br/>
 The ideal candidate will combine strong technical and analytical capabilities with a practical understanding of financial markets. This role will focus on sourcing, analyzing, and operationalizing alternative and traditional datasets, building research tools, and developing scalable analytical frameworks that support discretionary equity investing.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze large structured and unstructured datasets to identify predictive signals and investment insights for L/S Equity portfolio managers.
  </li>
  <li>
   Source, evaluate, and onboard alternative datasets relevant to equity investing, including consumer, transactional, web, geolocation, sentiment, and fundamental datasets.
  </li>
  <li>
   Work closely with portfolio managers, analysts, and sector teams to understand investment processes and develop tailored data-driven solutions.
  </li>
  <li>
   Apply statistical techniques and machine learning methods where appropriate to improve signal generation, company analysis, and portfolio insights.
  </li>
  <li>
   Create dashboards, visualizations, and reporting tools that enable PMs and analysts to consume data effectively and make faster investment decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience in data science, quantitative research, or data analytics within a hedge fund, asset manager, investment bank, or technology-focused environment.
  </li>
  <li>
   Strong proficiency in Python, including experience with libraries such as pandas, NumPy, scikit-learn, and related data science tools.
  </li>
  <li>
   Experience working with large datasets, SQL databases, APIs, and modern data processing frameworks.
  </li>
  <li>
   Understanding of equity markets and investment workflows, ideally within a long/short equity investing environment a plus but not required
  </li>
  <li>
   Strong problem-solving and critical thinking abilities with a demonstrated ability to derive actionable insights from complex datasets.
  </li>
  <li>
   Ability to communicate findings clearly to both technical and non-technical stakeholders, including portfolio managers and investment analysts.
  </li>
  <li>
   Exposure to generative AI tooling for investment research workflows.
  </li>
  <li>
   Knowledge of software engineering best practices, including version control and CI/CD workflows.
  </li>
 </ul>
</div>


L/S Equity - Sector Data Science

Nomura

<div></div><div><div><div><div><div>Job Code: 13473
</div></div></div></div><div><div><div><div>Country: US
</div></div></div></div><div><div><div><div>City: New York
</div></div></div></div><div><div><div><div>Skill Category: Internal Audit
</div></div></div></div><div><div><div><div>Description:
<h3 class="jobSectionHeader"><b>Corporate Title: </b>Associate</h3>
<h3 class="jobSectionHeader"><b>Department:</b> Internal Audit</h3>
<h3 class="jobSectionHeader"><b>Location: </b>New York, NY</h3>
<h3 class="jobSectionHeader">The base pay range for this position at commencement of employment is expected to be between $130,000 and $150,000 per year. .</h3><br>
<div></div><div><b>Company overview</b></div>
<p>Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.</p><br>
<div></div><div>Aon&rsquo;s Benefit Index&reg;: Nomura&rsquo;s benefits <b>rank</b> <b>#1</b> amongst our competitors.</div><br>
<p></p><p><b>Department overview</b><b>:</b></p>
<p>The Internal Audit department is a key part of Nomura&rsquo;s corporate governance and the department&rsquo;s primary objectives are to review the company's control environment and report any weaknesses identified to the Audit Committee and senior management.
</p><p>The Internal Audit department has over 190 staff that are located in major cities around the world. The Nomura Global Wholesale Internal Audit department in the Americas comprises 40 professionals, split across Trading, Sales and Investment Banking businesses as well as Technology, Risk Management, Legal and Compliance and Finance specialists, reporting to the Americas Head of Internal Audit.</p><br>
<p></p><p><b>Key responsibilities;</b></p>
<p>Reporting to the Americas Global Markets Audit Technology Portfolio Director who is responsible for the Global Equities and Securitized Products IT audit portfolio globally, the Global Markets Internal Audit Data Scientist will be responsible for working as part of an integrated team to audit Global Markets businesses.
</p><p>The role involves working with technology and control stakeholders to understand and assess the technology risks across a range of products and make value added control improvement recommendations to senior management. The role covers systems supporting structured and complex businesses as well as vanilla businesses across all major asset classes (Credit, Rates, FX, and Equities).</p>
<p>The role involves using data analytics and developing automated testing to assess risks and controls to identify internal control weaknesses during internal audit reviews and continuous auditing.</p>
<p>The audits cover Front Office Trading and Sales together with supporting control functions including Market and Credit Risk Management, Product Control / Middle Office, Technology and Compliance.
</p><p>Responsibilities include risk assessments, continuous monitoring, validating major control enhancements, reporting results to senior management, and contributing towards strategic and innovative changes to improve audit effectiveness.</p><br>
<p></p><p><b>Skill and Experience Requirements</b></p>
<ul><li>The primary skillset required is prior experience of data analysis. The candidate must be able to cite examples of applying data analysis skills and tools in a business or educational context.</li>
<li>Experience of trading systems, businesses, and the related operations, compliance, and finance areas in a broker-dealer or investment bank, or in an auditor / consultant role in a public accounting firm.</li>
<li>Experience of coding e.g. using Python and other languages, to provide insight into risks and/or controls such as IT general controls for e.g. change management, and analysis of data integrity to provide an audit opinion on the completeness, accuracy of system-based processing.</li>
<li>Knowledge of artificial intelligence tools and prompt engineering would be an advantage.
</li><li>Knowledge of databases: SQL, Elastic, Graph technologies, and Linux environments would be beneficial.</li>
<li>Knowledge of data visualization tools such as Power BI, Tableau, QlikView, etc. would be beneficial.</li>
<li>Knowledge of general auditing principles, including the ability to identify and document technology and business processes, and the design and operating effectiveness of related controls.</li>
<li>Confident manner and well-developed communication (both verbal and written), influencing, interpersonal and project management skills.</li><br>
</ul><p></p><p><b>Qualifications</b></p>
<ul><li>A bachelor&rsquo;s degree in Data Science, a Quantitative subject, Computer Science, Business, Finance, or related discipline.</li>
<li>Accounting or Audit professional qualifications (e.g., CISA) and / or securities licenses would be advantageous.</li>
<li>Knowledge of regulatory requirements in the US, Europe, and Asian markets would also be beneficial.</li><br>
</ul><p></p><div><b>Nomura Leadership Behaviors</b></div>
<div><b>Explore Insights &amp; Vision</b></div>
<ul><li>Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.</li>
</ul><div><b>Making Strategic Decisions</b></div>
<ul><li>Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.</li>
</ul><div><b>Inspire Entrepreneurship in People</b></div>
<ul><li>Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.</li>
</ul><div><b>Elevate Organizational Capability</b></div>
<ul><li>Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.</li>
</ul><div><b>Inclusion</b></div>
<ul><li>Foster a culture of inclusion and psychological safety in the workplace and cultivate a &quot;Risk Culture&quot; (Challenge, Escalate and Respect).</li><br>
</ul><div></div><ul><li>base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</li></ul><br>
<div></div><div>If hired, employee will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors&rdquo;.</div><br>
<div></div><div><i>Nomura is an Equal Opportunity Employer</i></div><br>
</div></div></div></div><p></p><p><br>
<b>Nearest Major Market: </b>Manhattan
<br>
<b>Nearest Secondary Market: </b>New York City</p></div>

GM Technology Data Scientist Associate

TickPick

<div>
 <strong>
  Who We Are:
  <br/>
  <br/>
 </strong>
 Same Seats. Better Prices.
 <br/>
 <br/>
 Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition.
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 For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000's and Crain's New York Business' Fast 50.
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 <br/>
 If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.
 <br/>
 <br/>
 <strong>
  Who You Are:
  <br/>
  <br/>
 </strong>
 We're looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes &mdash; such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas &mdash; and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time.
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 <br/>
 You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. You should also be comfortable partnering with stakeholders across the business &mdash; communicating your findings, building buy-in, and seeing your work through to real production impact. If you are looking to join a growing team within a growing company that's making data a priority, this is the role for you. You'll have the opportunity to touch many aspects of the business.
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 <strong>
  Core Responsibilities:
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  <br/>
 </strong>
 <ul>
  <li>
   Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes
  </li>
  <li>
   Build, deploy, and maintain machine learning models in production &mdash; operationalizing them in a sustainable, maintainable way
  </li>
  <li>
   Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production
  </li>
  <li>
   Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science
  </li>
  <li>
   3+ years of experience with machine learning models including development, version control, and deployment/serving of models
  </li>
  <li>
   Demonstrated experience operationalizing ML models in production &mdash; either independently or alongside an engineering team
  </li>
  <li>
   Experience working with platforms such as Snowflake and Databricks
  </li>
  <li>
   Proficient in one or more programming languages, such as Python
  </li>
  <li>
   Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more.
  </li>
  <li>
   Strong planning, communication, and problem-solving skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strongly Desired Attributes:
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  <br/>
 </strong>
 <ul>
  <li>
   A track record of getting stakeholder buy-in and commitment on experiments and initiatives &mdash; communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact
  </li>
  <li>
   Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes
  </li>
  <li>
   Experience working with data modeling software and on teams with data modelers
  </li>
  <li>
   Experience using analytical approaches to problem-solving with large volumes of data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with marketplace businesses and dynamic pricing
  </li>
  <li>
   A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A hybrid in-office approach, enabling remote work a portion of each week
  </li>
  <li>
   Health Care Plan (Medical, Dental &amp; Vision)
  </li>
  <li>
   Retirement Plan Contribution (401k, IRA)
  </li>
  <li>
   Life Insurance (Basic, Voluntary &amp; AD&amp;D)
  </li>
  <li>
   Paid Time Off (Vacation, Sick &amp; Holidays)
  </li>
  <li>
   Family Leave (Maternity, Paternity)
  </li>
  <li>
   Training &amp; Development
  </li>
  <li>
   $100 Monthly Stipend to Attend Live Events
  </li>
  <li>
   Employee Outings
  </li>
  <li>
   Free Lunch &amp; Snacks
   <br/>
   <br/>
  </li>
 </ul>
 The estimated pay range for this role, based in New York City, is $105,000 - $135,000. This role will be eligible to participate in our company's equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.
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 Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
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 <br/>
 The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.
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 <br/>
 <strong>
  Diversity at TickPick:
  <br/>
  <br/>
 </strong>
 At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization's culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.
 <br/>
 <br/>
 TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.
</div>


Data Scientist

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><div>
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY: Sr Data Scientist to formulate and apply mathematical and computational modeling methods towards data extraction and manipulation. Duties include: design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business; develop advanced algorithms and statistical predictive models to evaluate scenarios and provide usable information on health metrics and potential future outcomes; extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity); utilize strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses. Telecommuting available. Multiple positions.<br>
<br>
Requirements: Master&rsquo;s degree (or foreign equivalent) in Computer Science, Data Science, Operations Research, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in<br>
each of the following:<br>
<ul><li>R, Python, or SQL;</li><li>Visualization tools, including PowerBI or Tableau;</li><li>&ldquo;Big data&rdquo; platforms including Hadoop (Azure, GCP, or AWS) and Spark, Airflow, Kafka, Hbase, Pig, or NoSQL;</li><li>Translating analytical problems into structured programs using PySpark, Scala, PL/SQL or Teradata BTEQ;</li><li>Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP);</li><li>Data analytics on large data sets in healthcare, business, or retail sector;</li><li>Marketing analytics, clinical trials, or health research;</li><li>Containerized services, storage, and workspace management;</li><li>Featuring engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; and</li><li>Qualitative analysis techniques, including clustering, repression, and pattern recognition.</li></ul><br>
Pay Range: $111240.00/year to $222480.00/year.</div><p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.<br>
<br>
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.<br>
<br>
<b>Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Sr Data Scientist

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