statistical modeler

Credila Financial Services Limited

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 <p>
  <strong>
   <u>
    About the Company
   </u>
  </strong>
 </p>
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 <p>
  Credila Financial Services Limited (Formerly known as HDFC Credila Financial Services Limited) is one of India&rsquo;s largest education loan non-banking financial companies (NBFCs) offering education loans to Indian students. With an in-depth understanding of the higher education domain in India as well as overseas, Credila offers tailor-made education loan solutions that help enable students to be financially equipped to pursue their education at their dream university and country of study. Since inception, Credila has funded 178,000+ Indian students across 63 countries in 4,600 institutes
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  <strong>
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    Responsibilities
   </u>
  </strong>
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 </p>
 <ul>
  <li>
   Designing and implementing an overall risk management process for the Education Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
  </li>
  <li>
   Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
  </li>
  <li>
   Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance strategy overall ROA by segment.
  </li>
  <li>
   Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
  </li>
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   Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
  </li>
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   Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
  </li>
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   Develop risk-based credit policies and pricing grids to maximize approvals within specific segments of risk
  </li>
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   Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
  </li>
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   Partner with Engineering team to implement policies and scorecards.
  </li>
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   Supervise creation of time-sensitive analytics, visualizations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.
  </li>
 </ul>
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  <strong>
   Data Analytics
  </strong>
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  <li>
   Analyze data to identify high risk segments to limit and decrease loss rates.
  </li>
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   Perform exploratory data analysis to identify interesting data trend/ insights.
  </li>
 </ul>
 <p>
  <strong>
   Model Validation
  </strong>
 </p>
 <ul>
  <li>
   Build/Validate statistical scoring models on Unsecured lending portfolios that would aid in customer segmentation.
  </li>
 </ul>
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  <strong>
   Policy formulation
  </strong>
 </p>
 <ul>
  <li>
   Develop new policies for new partners and channels (Acquisition &amp; Line management)
  </li>
  <li>
   Review and update policies for existing partners in case of any change.
  </li>
  <li>
   Work with tech team to design test and implementation for any changes (partner related or regulatory) in policies.
  </li>
 </ul>
 <p>
  <strong>
   Portfolio Management
  </strong>
 </p>
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  <li>
   Constantly Evaluate portfolio performance.
  </li>
  <li>
   Benchmark to Industry Standards.
  </li>
 </ul>
 <p>
  <strong>
   Loss Management
  </strong>
 </p>
 <ul>
  <li>
   Monitor Loan portfolio on a daily/weekly basis for any increase in risk (loss rates)
  </li>
  <li>
   Forecast loss for Education Loan portfolios
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Management
  </strong>
 </p>
 <ul>
  <li>
   Interacting with cross functional teams and driving the credit policy agenda and ensuring correct implementation of credit policy guidelines in origination system and decisioning platforms
  </li>
  <li>
   Lead discussions with external stakeholders/ channel partners during engagement calls
  </li>
 </ul>
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  <br/>
 </p>
 <p>
  <strong>
   <u>
    Skills
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
  </li>
  <li>
   Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
  </li>
  <li>
   Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
  </li>
  <li>
   Outstanding communication skills, both verbal and written
  </li>
 </ul>
 <p>
  <br/>
 </p>
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  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications and Experience
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   MBA with Mathematics / Statistics / Information Management as a subject in the curriculum or CA/ CFA with relevant experience
  </li>
  <li>
   2-5 years of experience in the areas of Risk Management, Credit Modelling, Data Analytics, etc. (preferred).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Job Location:
   </u>
  </strong>
  Mumbai (Kalina)
 </p>
</div>


Risk Manager

VALUEMOMENTUM Inc

<div><div><b>Job Title:</b> Data Modeler
</div><div><b>Job ID:</b> POS-17485</div>
<div><b>Primary Skill:</b> Erwin</div><br>
<br>
<div><p>Key Skills: Data Modelling, SQL, Tools (Erwin OR ER/Studio)<br>
Job Location: Hyderabad/Pune/Coimbatore/Bangalore<br>
Mode of Work: Work From Office(5 Days)</p><p>
Experience: 8-12 Years</p>
<p>About the job:<br>
We&rsquo;re seeking a hands‑on Data Modeler to design and evolve enterprise‑grade data models that make diverse source data consumption‑ready for reporting, analytics, and advanced insights. You will translate business requirements into conceptual, logical, and physical designs (3NF and dimensional), establish and enforce data standards and naming conventions, and collaborate across Architecture, BA, Engineering, and DBA teams to deliver performant, governed, and scalable models.</p><br>
<p>Know your team:</p><p>
At ValueMomentum Technology Solution Centers, we are a team of passionate software engineering teams who thrive on tackling complex business challenges with innovative solutions catering to the P&amp;C insurance value chain. We achieve this through a strong software engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance.</p><br>
<p>Join our team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to work with some of the best minds serving insurance customers in the US, UK and Canadian markets.</p><br>
<p>Responsibilities:</p><ul><li><b>
Model design &amp; documentation:</b> Create ERDs and data models (conceptual, logical, physical) for relational (3NF) and dimensional (star/snowflake) structures; maintain comprehensive documentation (data dictionaries, entity/attribute catalogs, glossaries).</li><li><b>
Multi source harmonization:</b> Analyze and reverse engineer &ldquo;as is&rdquo; structures from varied source systems; design canonical and conformed models to unify and standardize data for enterprise use.</li><li>
Requirements translation: Partner with Information Architecture and Business Analysis to convert business concepts into precise technical designs, S2T (source to target) mappings, and DDL with clear integrity rules.</li><li><b>
Physical design alignment:</b> Work with Data Architects and DBAs to validate physical design choices (partitioning, indexing, constraints) and ensure alignment to performance, reliability, and governance SLAs.</li><li>
Analytics &amp; reporting enablement: Model aggregated and hierarchical structures and define fact/dimension layers, including SCD policies and conformed dimensions, to power BI, self service, and operational reporting.</li><li><b>
Standards &amp; governance:</b> Establish and enforce enterprise data standards (definitions, naming, keys, relationships), embed data quality and lineage considerations, and support stewardship and audit needs.</li><li>
Reference/master data: Define approaches to unify identifiers and entities across systems (golden record rules, survivorship, conformance strategies).</li><li><b>
Collaboration &amp; leadership:</b> Guide onshore/offshore contributors on modeling deliverables, review cycles, and documentation; facilitate stakeholder reviews and sign offs.</li><li>
Continuous improvement: Contribute to modeling standards, templates, and checklists; advocate reusable patterns across subject areas and lines of business.</li></ul><br>
<p>Requirements:
</p><ul><li>Strong data modelling expertise using ER diagrams and tools such as Erwin (or ER/Studio, equivalent).</li><li>
Proven delivery of conceptual, logical, and physical models at enterprise scale, spanning 3NF and dimensional approaches.</li><li>
Ability to gather and translate business requirements into clear technical designs, S2T mappings, and DDL (keys, constraints, indexes).</li><li>
SQL proficiency and deep understanding of database design, normalization, referential integrity, and performance considerations.</li><li>
Experience designing for aggregated &amp; hierarchical reporting, SCD policies, and conformed dimensions.</li><li>
Effective collaboration with Architecture/BA/DBA/Engineering teams; excellent written and verbal communication skills.</li><li>
High attention to detail, consistency, and data quality across large and complex datasets.</li></ul><br>
</div><br>
<div><div><b>About the Company:</b><br>
<br>
Founded in 2000 with the core belief that impactful change comes from deep commitment, ValueMomentum specializes in delivering measurable results across the P&amp;C value stream. For more than 25 years, we have empowered more than 100 carriers to reimagine their businesses with AI and emerging technologies, navigate market shifts, unlock speed to value, and become future-ready. We help insurers in the US, Canada, and Europe stay ahead with sustained growth and high performance to enhance stakeholder value and foster resilient societies. For more information, visit ValueMomentum<br>
</div><br>
<div><b>Benefits:</b><br>
<br>
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li><i>Career Advancement: </i>Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li><i>Performance Management: </i>Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

Data Modeler

Vanguard

<div><div>Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.</div><div><p><b>
Role Summary</b></p><p>
This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.</p><p><b><br>
Responsibilities</b></p><ul><li><p>
Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.</p></li><li><p>
Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.</p></li><li><p>
Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.</p></li><li><p>
Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.</p></li><li><p>
Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.</p></li><li><p>
Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.</p></li><li><p>
Participates in special projects and performs other duties as assigned.</p></li><li><p>
Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.</p></li><li><p>
Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.</p></li><li><p>
Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.</p></li></ul><p><b><br>
Qualifications and Skills</b></p><ul><li><p>
Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles</p></li><li><p>
Bachelor&rsquo;s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master&rsquo;s degree/Diploma in a related quantitative field</p></li><li><p>
Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI.</p></li></ul><p><b>
Special Factors</b></p><p><b>
Sponsorship</b></p>
Vanguard is offering visa sponsorship for this position.<p></p><p><b>
About Vanguard</b></p><p>
At Vanguard, we don't just have a mission&mdash;we're on a mission.</p><p></p><p>
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.</p><p></p><p><b>
How We Work</b></p><p>
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.</p></div></div>

AI/ML Data Scientist

Honeywell

<div><p>As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing advanced data analytics models and algorithms to solve complex business problems. You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions. Your role will involve leveraging machine learning, statistical modeling, and data analysis techniques to provide actionable insights that drive business value.
</p><p>In this role, you will impact the business by optimizing processes, reducing costs, and identifying growth opportunities through data-driven insights. Your contributions will help position Honeywell at the forefront of data-driven innovation, leveraging cutting-edge technologies and advanced analytics to propel the business forward.</p></div>
<br><div><p>Key Responsibilities
</p><ul><li>Apply expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions
</li><li>Manage endtoend data science projects, ensuring alignment with business objectives and successful delivery of actionable insights
</li><li>Provide mentorship and guidance to junior data scientists
</li><li>Contribute to the strategic vision of the Data Science team
</li><li>Apply strong analytical and problemsolving skills to address complex data challenges and generate valuable insights</li></ul></div>
<br><div><p>YOU MUST HAVE
</p><ul><li>2+ years of experience within data analysis, statistical modeling, or a related field
</li><li>Proven experience in developing and implementing data science projects
</li><li>Strong project management and organizational abilities
</li></ul><p>WE VALUE
</p><ul><li>Bachelor&rsquo;s degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline
</li><li>Experience in leading and ownership of complex data projects
</li><li>Proficiency in programming languages such as Python or R
</li><li>Strategic thinking and the ability to align data science initiatives with business objectives</li></ul></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Data Scientist II

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.<br>
</li>
<li>3 years of experience with Machine Learning and Statistical modeling, especially in anomaly detection and classification models.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience in using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.</li>
<li>Knowledge of data metrics, analysis and trends and of measurement, statistics and program evaluation.</li>
<li>Ability to have an analysis mindset, comfortable with both statistically driven analysis and approaches based on the need of problem.</li>
<li>Excellent problem-solving and business judgment skills.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
In this role, your mission is to build productivity and data products, develop AI/ML/statistical models and provide prescriptive insights to help Cloud Supply Chain and Operations (CSCO) define and achieve business goals. You will help make Google Cloud supply chain and Data Centers exceptional by enabling data-informed decision making and product innovation.</p><p>
Areas of Focus:</p><ul><li>
Through applied modeling, you will pursue high-impact forecasting, anomaly detection, GenAI, automation and statistical modeling opportunities.</li><li>
Through prescriptive insights, you will inform supply-chain, operations and product decisions that drive long-term strategies or 8+ figure $ impact.
</li><li>Through product management, you will help CSCO achieve business goals through data, AI and ecosystem products.</li><li>
Through measured work, you will enable data center productivity measurement and improvements.</li></ul></div><p></p><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Develop machine learning and statistical models to detect anomalies, forecast trends, classify patterns and optimize processes in Google Cloud Supply Chain and Operations.</li>
<li>Deliver difficult investigative problems with initial guidance structuring approach and conduct exploratory data analyses, inform model design, and development.</li>
<li>Plan and execute prioritized project work, including selecting appropriate methods and advice on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems via selecting better methods/tools.</li>
<li>Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Data Scientist, Research Cloud

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, a related quantitative field, or equivalent practical experience.</li>
<li>5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD.</li>
<li>Excellent problem-solving skills, with the ability to manage statistically driven analysis and approaches based on the need of problems.</li>
<li>Excellent verbal and written communication skills, with the ability to articulate concepts to both technical and non-technical stakeholders.</li>
<li>Interest in data, metrics, analysis, and trends, with knowledge of measurement, statistics, and program evaluation.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
The team's mission is to build productivity and data products, develop AI/ML statistical models and provide prescriptive insights to help cloud supply chain and operations (CSCO) define and achieve business goals. The team helps make Google Cloud supply chain and data centers enable data-informed decision making and product innovation. The team pursues high-impact forecasting, anomaly detection, generative AI, automation, and statistical modeling opportunities.</p></div><p></p><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Develop machine learning and statistical models to detect anomalies, forecast trends, classify patterns and optimize processes in Google Cloud supply chain and operations.</li>
<li>Deliver analytical problems with initial guidance structuring approach and conduct exploratory data analyses, inform model design, and development.</li>
<li>Plan and execute prioritized project work, including selecting appropriate methods and advising on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems via selecting better methods/tools.</li>
<li>Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Data Scientist, Research, Cloud Supply Chain Operations

FICO

<div><div>FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!</div><div></div><div>
The Opportunity</div><div></div><div><i>
&quot;The need for analytics is everywhere!</i><i> </i><i>B</i><i>e a part of a team that solves problems with analytics by</i><i> </i><i>staying at the forefront of Artificial Intelligence (AI) and Machine Learning (ML). Want to build something meaningful and have fun while doing it? We do too</i><i> </i><i>and have been using</i><i> </i><i>cutting edge technology to help build</i><i> </i><i>industry leading</i><i> </i><i>solution</i><i>s</i><i>.</i> <i>If you are a problem solver and like the idea of solving tough problems with data and analytics in real world situations, you will thrive here at FICO! You will have the opportunity to work side by side with some of the brightest analytical and engineering minds in the industry who share a passion for innovation.&quot; &ndash;</i><i> </i>Director, Analytic Science</div><div></div><div><br>
 What You&rsquo;ll Contribute</div><ul><li><div>
Work with large amounts of real-world data and ensure data quality throughout all stages of acquisition and processing, including data collection, normalization and transformation.</div></li><li><div>
Research and select appropriate statistical methods and computational algorithms.</div></li><li><div>
Build and/or oversee teams building high-end analytic models for relevant problems using statistical modeling techniques. Manage these projects under time constraints, working with other teams within FICO to provide high quality support to enable integration and deployment of analytics software and solutions.</div></li><li><div>
Assist with model go-lives by performing production data validations and analysis of models in production.</div></li><li><div>
Assist with client meetings to investigate and resolve problems. Apply data mining methodology in thorough analyses of model behaviors and provide support for customer meetings, model construction and pre-sales. May also participate in post-implementation support.</div></li></ul><div></div><div><br>
What We&rsquo;re Seeking</div><ul><li><div>
MS or PhD degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields with significant years of hands-on related experience in predictive modeling and data mining.</div></li><li><div>
5-7 years of relevant experience.</div></li><li><div>
Experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets.</div></li><li><div>
Background in ML and AI preferred.</div></li><li><div>
Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization.</div></li><li><div>
Strong programming experience.</div></li><li><div>
Experience working with any of these languages: Java, Python, C++ or C.</div></li><li><div>
Hands-on experience working with Linux.</div></li></ul><div></div><div><br>
Our Offer to You</div><ul><li><div>
An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.</div></li><li><div>
The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.</div></li><li><div>
Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.</div></li><li><div>
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.</div></li></ul><div></div><div><br>
#LI-DNI</div><div></div><div>
Why Make a Move to FICO?</div><div></div><div>
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today &ndash; Big Data analytics. You&rsquo;ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.</div><div><br>
FICO makes a real difference in the way businesses operate worldwide:</div><ul><li>Credit Scoring &mdash; FICO&reg; Scores are used by 90 of the top 100 US lenders.</li><li>Fraud Detection and Security &mdash; 4 billion payment cards globally are protected by FICO fraud systems.</li><li>Lending &mdash; 3/4 of US mortgages are approved using the FICO Score.</li></ul><div></div><div>
Global trends toward digital transformation have created tremendous demand for FICO&rsquo;s solutions, placing us among the world&rsquo;s top 100 software companies by revenue. We help many of the world&rsquo;s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people &ndash; just like you &ndash; who thrive on the collaboration and innovation that&rsquo;s nurtured by a diverse and inclusive environment. We&rsquo;ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!</div><div></div><div>
Learn more about how you can fulfil your potential at <div>www.fico.com/Careers</div></div><div></div><div>
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we&rsquo;re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don&rsquo;t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate&rsquo;s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.</div><div></div><div>
Information submitted with your application is subject to the FICO Privacy policy at <div>https://www.fico.com/en/privacy-policy</div></div></div>

Analytic Science-Lead Scientist

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