quantitative analyst

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to serve as a critical component of our nation&rsquo;s safety and security. Make an impact by using your expertise to protect our country from threats.</p><p>
Job Description</p><div><p>
Operations Research Systems Analyst (ORSA) MID</p><p>
HOW AN OPERATIONS RESEARCH SYSTEMS ANALYST MID WILL MAKE AN IMPACT</p><p>
Our work depends on a Mid‑Level Operations Research Systems Analyst (ORSA) to provide advanced quantitative analysis and decision support to defense and security efforts within the Pacific theater. The ORSA will apply mathematical modeling, systems analysis, statistics, simulation, and operational research techniques to help optimize intelligence processes and support data driven decision-making across the Indo Pacific theater.</p><p></p><p>
As a Mid Level ORSA, you will:</p><ul><li>
Develop and apply mathematical models and optimization techniques to improve intelligence operational efficiency.</li><li>
Conduct systematic analyses of operational processes to identify inefficiencies and propose evidence‑based solutions.</li><li>
Create discrete‑event simulations to model complex operational scenarios and assess alternative courses of action.</li><li>
Apply decision analysis techniques to support risk assessment and strategic planning under uncertainty.</li><li>
Develop and maintain Measures of Performance (MOPs), Measures of Effectiveness (MOEs), and Key Performance Indicators (KPIs).</li><li>
Evaluate system performance against established metrics using rigorous quantitative methods.</li><li>
Prepare detailed analytical reports, briefings, and visualizations that communicate complex findings to technical and non‑technical audiences.</li><li>
Brief analytical results to senior leadership to support data‑driven decision‑making.</li><li>
Provide quantitative analysis support to operational planning teams and strategic initiatives.</li><li>
Develop custom analytical tools, models, and approaches tailored to specific mission requirements.</li><li>
Actively participate in JIOC planning conferences and exercises, J2 working groups, intelligence system capability development meetings, Joint‑ and national‑level coordination boards, and technical exchange meetings with mission partners.</li></ul><p></p><p>
WHAT YOU&rsquo;LL NEED TO SUCCEED</p><p>
Security Clearance: Active TS/SCI w/ polygraph</p><p>
Required Education and Experience: Bachelor&rsquo;s degree in Operations Research, Systems Engineering, Mathematics, Statistics or a related analytical field. 3-5 yrs related experience. At least a portion of your experience must be in the last 2 yrs.</p><p></p><p>
Required Skills:</p><ul><li>
Demonstrated experience applying operations research methodologies and mathematical programming to real‑world problems.</li><li>
Knowledge of statistical analysis techniques and experimental design principles.</li><li>
Proficiency in simulation modeling and associated analysis tools.</li><li>
Understanding of decision analysis and optimization methods.</li><li>
Skill in data visualization and presenting quantitative results to diverse audiences.</li><li>
Experience using analytical software such as R, Python, MATLAB, or equivalent tools.</li><li>
Ability to translate complex analytical findings into clear, actionable insights.</li><li>
Strong problem‑solving skills, critical thinking ability, and quantitative reasoning.</li><li>
Effective communication skills for explaining technical concepts to non‑technical leaders and stakeholders.</li></ul><p></p><p>
Preferred Skills:</p><ul><li>
Experience supporting the DoW, intelligence community, or national‑security operations.</li><li>
Familiarity with big‑data tools, intelligence systems, and multi‑INT workflows.</li><li>
Experience developing dashboards and visualizations for senior‑level decision‑makers.</li></ul><p></p><p>
GDIT IS YOUR PLACE</p><ul><li>
401K: With company match.</li><li>
Health &amp; Wellness: Comprehensive health and wellness packages.</li><li>
Career Growth: Internal mobility team dedicated to helping you own your career.</li><li>
Professional Development: Growth opportunities including paid education and certifications.</li><li>
Innovative Tech: Access to cutting-edge technology to stay ahead of the mission.</li><li>
Work-Life Balance: Rest and recharge with paid vacation and holidays.</li></ul>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
3 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
Less than 10%</div></div><div></div><div>
Citizenship<div>
U.S. Citizenship Required</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Operations Research Systems Analyst (ORSA) MID-TS/SCI with Polygraph

Fuse Energy

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and implement models for our energy supply business using Python and other data science tools
  </li>
  <li>
   Identify, analyze, and mitigate credit risk
  </li>
  <li>
   Conduct data analysis and modeling to support risk management decisions
  </li>
  <li>
   Stay current with industry developments and regulations related to credit risk management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience as a quantitative researcher or data scientist
  </li>
  <li>
   Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
  </li>
  <li>
   Strong statistical and modeling skills
  </li>
  <li>
   Strong communication and collaboration skills
  </li>
  <li>
   Experience in the energy industry is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and a stock options sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs!
  </li>
  <li>
   28 days paid annual leave per year including public holiday
  </li>
 </ul>
</div>


Quantitative Researcher

Traders Insurance

<p></p><div><p><b>Reliable, Local Company, Providing Full-Time Remote Job Opportunities </b>&ndash; While this role is fully remote, candidates must be located in the Kansas City metro area.<br>
<br>
The <b>Product Analyst I</b> supports the Product Manager, as well as other leadership and executives across other functional areas, by completing tasks and projects. Projects may be detailed and occasionally repetitive, requiring strong attention to detail and consistency. Some assignments will involve quantitative analysis, logical problem-solving, and the use of computer application and data tools.</p><br>
<p>
In this role, you&rsquo;ll play an integral role in driving success, being a part of a passionate team, working directly from the comfort of your own home. We value your expertise and passion and aim to create a supportive atmosphere that encourages personal and professional growth. We pride ourselves on being a leading company in our industry, known for our stability, reliability, and commitment to excellence. At Traders Insurance, we value employee empowerment, open communication, and the ability to make a difference. Join us today to enjoy a multitude of opportunities for learning, development, and advancement.</p><br>
<p><b>
Responsibilities
</b></p><ul><li><ul><li><p>Working independently, this role will</p>
</li><li>
Obtaining data and reports from policy and claims systems using menu-based reporting tools or previously prepared reports. Using SQL or other query language to develop ad hoc reports.</li><li>
Organizing and processing data and reports into pre-determined formats for use by managers.</li><li>
Obtaining competitor rate filings and extracting relevant competitor information to perform comparative analyses.</li><li>
Use comparative rating tools to obtain competitor rates and perform rate comparisons and organize comparisons into market baskets or other pre-determined formats for use by managers.</li><li>
Completing template-based analyses, such as monthly reports, rate level indications or rating factor analyses, by populating inputs in prepared templates.</li><li>
Obtaining and comparing competitor policy forms as directed.</li><li>
Creating business requirements for IT revisions.</li><li>
Researching operational problems related to products (rating errors, etc.)</li><li>
Editing rule manuals with updates and revisions as directed.</li><li>
Describing or researching business processes (policy issuance, renewal, invoice, cancellation, quoting, etc.) to document workflow, identify gaps and redundancies, evaluate data quality, and relate process to product components.</li><li>
Preparing and submitting SERFF (NAIC System for Electronic Rate and Form Filing) filings.</li><li>
Executing User Acceptance Testing of product-related IT revisions.</li><li>
Ad hoc analysis and miscellaneous support of the products and product managers.</li></ul>
</li></ul><p><b>
Degree of Independence and Supervision</b>
</p><ul><li>Proficiency with MS Excel (lookups, complex formulae, if/then/else logic, data scrubbing), Word, PowerPoint</li><li>
Proficiency with SQL Server Management Studio, Cloverleaf, Power BI, VBA, or Snowflake are desired. User-level proficiency with internal Business Intelligence or Management Information applications.</li><li>
Power BI and Python knowledge and experience.</li><li>
Understanding of pricing and segmentation theory, include rate adequacy, adverse selection, pure premium relativity, and eligibility.</li><li>
Profound understanding of rating calculation formulae, rating variables and factor tables.</li><li>
Profound understanding of internal templates or documents specifying business requirements for rating, eligibility, billing and other product characteristics.</li><li>
Working knowledge of comparative rater processes, from both agency and company perspective, and familiarity with data available for rate comparisons or competitive analysis.</li><li>
Awareness of key competitors.</li><li>
Strong analytical and quantitative aptitude.</li><li>
Attention to detail.</li><li>
Ability to work independently to complete assigned tasks and projects.</li></ul><p><b>
Qualifications</b>
</p><ul><li>Bachelor&rsquo;s degree required. Quantitative discipline (math, physics, finance, economics) highly desired.</li><li>
Bachelor&rsquo;s degree requirement could be replaced by five-plus years of demonstrated extremely high-quality and relevant experience working with rating applications, IT business requirements, user acceptance testing, operational quality assurance or policy forms and filings.</li><li>
Minimum 1 year as an assistant product analyst or equivalent in a P&amp;C insurance environment or 2 years as a quantitative analyst in an industry other than insurance or 3 years of progressively increasing experience in an operational role with the company.</li><li>
Candidates are generally expected to meet both the education and experience requirements.</li></ul>
<p><b>
Compensation is commensurate with experience Traders' e</b><b>mployees also benefit from:</b></p>
<ul><li>
Group Medical/Dental/Vision</li><li>
Pet Insurance</li><li>
Employee and Dependent Life Insurance</li><li>
Paid Time Off</li><li>
401K Plan</li><li>
Parental Leave</li><li>
Training and Career Development</li><li>
Opportunities for Advancement</li></ul></div>

Product Analyst

Aalis Management Consulting

<div><p>Aalis Management Consulting is an 8(a) certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB) driven by the same principles that guide our armed forces. Founded by a US Army veteran, we take pride in our core values: excellence in reputation, commitment, candor, teamwork, and dependability. Our team delivers stakeholder-focused support in the areas of AcquisitionProcurement Support, (IT) Financial Management, Program Management, and LogisticsSupply Chain Support. Visit us at www.aalismc.com<br>
<br>
<b>Title: </b>Trade Data Analyst<br>
<b>Client: </b>Federal Agency<br>
<b>Ability to Work: </b>Washington, D.C. (Onsite 3 days a week)<br>
<b>Clearance: </b>Public Trust<br>
<b>Security Clearance Statement: </b>This position requires a government security clearance; the applicant must be a U.S. citizen to be considered.<br>
<b>Number of Position(s): </b>1<br>
<b>Work Schedule: </b>8 am &ndash; 5 pm<br>
<b>Work Day: </b>Monday &ndash; Friday<br>
<br>
<b>Job Description:</b><br>
<br>
The Trade Data Analyst will support the federal agency's monitoring and enforcement functions by providing trade and other data analysis, with a focus on imports, exports, investment, production, prices, and corporate data. The Trade Data Analyst will support trade enforcement and enforcement-related negotiations across sectors, product categories, regions, countries, companies, and corporate groupings. The following tasks shall be performed. Subject matter and tasking may change frequently, including multiple times per day:</p><ul><li>
Data identification and analysis;</li><li>
Extensive and advanced knowledge of Excel;</li><li>
Any other knowledge of programming languages, such as Stata or Python, or visualization software, such as Tableau;</li><li>
Electronic and manual research for identified subject matter;</li><li>
Drafting memoranda and reports summarizing and/or analyzing research results;</li><li>
Assist in litigation;</li><li>
Fact and citation check;</li><li>
Prepare evidence.</li></ul><p><b>
Required Education, Experience,Skills:</b></p><ul><li>
The Trade Data Analyst must be experienced and demonstrate the ability to use advanced data analytics tools and perform 50% quantitative and 50% qualitative analyses.</li><li>
Bachelor's degree in economics, political science, finance, international relations, data science, or related field.</li><li>
The Trade Data Analysts must be able to research, identify, prepare reports, organize, and analyze applicable global trade (including harmonized tariff system data) and other data, including leveraging procured data sources and subscriptions in support of the Agency.</li><li>
The position requires close attention to detail and the ability to prioritize tasks and work quickly and under deadlines.</li></ul><p><b>
Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.</b></p></div>

Trade Data Analyst (Federal Agency)

Graham Capital Management, L.P.

<div><div><p>Graham Capital Management, L.P. (collectively with its affiliates, &quot;Graham&quot;) is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry's longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients &ndash; including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors &ndash; reinforcing alignment of interests across all strategies.</p>
<p>
The foundation of Graham's sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.</p></div><h4 class="jobSectionHeader"><b>
Description</b></h4>
<p>
Graham Capital Management, L.P. is seeking a portfolio analyst to support a quantamental Portfolio Management team focused on commodity markets and expressing trades through options. Sector coverage could include Softs, Grains, Metals, and Energy. The analyst will sit on the trading floor, working alongside the PM in all aspects of investing and portfolio management. The analyst will leverage their Bloomberg, Excel, and Python experience to assist in supporting the trading strategy as well as fundamental research. The candidate may be given the opportunity to grow into an assistant PM role with time.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Pull data from Bloomberg into Excel and build complex Excel sheets</li>
<li>Conduct research using python programming for Bloomberg</li>
<li>Follow, evaluate, and report on industry news, data, and trends, including early morning market activity (e.g., London market pricing)</li>
<li>Monitor the portfolio and assist with risk management</li>
</ul><h4 class="jobSectionHeader"><b>Requirements</b></h4>
<ul><li>0-4 years of relevant industry experience on buy or sell side</li>
<li>Bachelor's degree in relevant field</li>
<li>Excel and Python programming experience for Bloomberg (BQNT or BQUANT)</li>
<li>Proactively anticipate potential issues and solve problems</li>
<li>Excellent communication skills and team player mentality</li>
<li>Strong work ethic; able to be on desk at 6:00 AM to monitor London markets</li>
<li>High level of curiosity, integrity, and passion for financial markets</li>
<li>XGBOOST and other AI/ML related programming experience, a plus</li>
<li>Experience/knowledge of Options (calls, puts) and multi-leg Options structures, a plus</li>
</ul>
<p></p><p>This role requires commuting into our Rowayton, CT office Mondays through Fridays.</p>
<p><b>
Base Salary Range</b></p>
<p></p>
<p>The anticipated salary range for this position is $100,000 to $150,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications. This wage range may be modified in the future.</p>
<p>
In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.</p>
<p>
Notes:</p>
<p>
No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham's sole discretion, consistent with the law.</p>
<p>
Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation</p></div><p></p>

Portfolio Analyst, Commodities Options

Millennium

<div>
 <strong>
  Job Description: Quantitative Developer, Systematic Equities
  <br/>
  <br/>
 </strong>
 <em>
  Please direct all resume submissions to
 </em>
 <em>
  QuantTalentEUR@mlp.com
 </em>
 <em>
  and reference REQ-26457 in the subject.
  <br/>
  <br/>
 </em>
 Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled and entrepreneurial Lead Software Engineer to architect, build, and scale the core trading infrastructure for a newly formed quantitative trading pod. You will lead the design and deployment of systems that support systematic strategies operating across global markets and time zones.
 <br/>
 <br/>
 This is a hands-on leadership role at the intersection of technology, research, and trading - you'll collaborate directly with quantitative researchers and the Senior Portfolio Manager to turn ideas into production-ready strategies.
 <br/>
 <br/>
 The pod is led by a Senior Portfolio Manager with 15+ years of experience and a proven track record in alpha generation, strategy development, and risk management at top-tier quant firms. This is a unique opportunity to own the technology stack from day one, influence strategic direction, and help shape a high-performance team in a collaborative and intellectually rigorous environment.
 <br/>
 <br/>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 Dubai
 <br/>
 <br/>
 <strong>
  Principal Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Technical Leadership &amp; Architecture
  </li>
  <ul>
   <li>
    Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management
   </li>
   <li>
    Make decisions on technology stack, performance optimization, and scalability
   </li>
   <li>
    Ensure the system supports reasonable latency, high-throughput, and fault-tolerant trading
   </li>
  </ul>
  <li>
   Team Leadership &amp; Collaboration
  </li>
  <ul>
   <li>
    Help recruit and Lead a small team of developers (sometimes quants as well) within the pod
   </li>
   <li>
    Work closely with the quant researchers and traders to understand strategy requirements and translate them into code
   </li>
   <li>
    Prioritize tasks and mentor junior developers or quant devs
   </li>
  </ul>
  <li>
   Strategy Implementation Support
  </li>
  <ul>
   <li>
    Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores)
   </li>
   <li>
    Translate researchers' prototypes (e.g., in Python) into production&shy; grade code, often in C++, or C# for latency-sensitive components
   </li>
  </ul>
  <li>
   Execution &amp; Infrastructure
  </li>
  <ul>
   <li>
    Optimize and support order execution systems, integrating with various exchanges or broker APIs
   </li>
   <li>
    Implement real-time risk checks, monitoring, logging, and alerting tools
   </li>
  </ul>
  <li>
   Data Engineering &amp; Management
  </li>
  <ul>
   <li>
    Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)
   </li>
   <li>
    Ensure data integrity and low-latency access for trading and research
   </li>
  </ul>
  <li>
   DevOps &amp; Reliability
  </li>
  <ul>
   <li>
    Often take responsibility for deployment pipelines, version control, and production support
   </li>
   <li>
    Ensure high system availability and rapid recovery in case of failures
   </li>
  </ul>
  <li>
   Security &amp; Compliance
  </li>
  <ul>
   <li>
    Make sure that the pod's infrastructure adheres to firm-wide compliance and security standards
   </li>
   <li>
    Ensure rigorous version control, code quality, and documentation standards
   </li>
   <li>
    Conduct thorough testing and debugging of software components, resolving any issues or discrepancies.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Required Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field
  </li>
  <li>
   Fluency in C++ or C# for performance-critical systems
  </li>
  <li>
   Proficiency in Python, especially for scripting, research integration, and data tools
  </li>
  <li>
   Solid understanding of algorithms, data structures, and multithreaded/concurrent programming
  </li>
  <li>
   Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs)
  </li>
  <li>
   Familiarity with software engineering best practices: version control (Git), unit testing, CI/CD, logging, monitoring, etc.
  </li>
  <li>
   Strong troubleshooting skills across distributed systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment
  </li>
  <li>
   Proven experience in:
  </li>
  <ul>
   <li>
    Handling large-scale market data (e.g., normalization, feed handling, replay systems)
   </li>
   <li>
    Order routing and exchange connectivity, including FIX protocols and direct market access (DMA)
   </li>
   <li>
    Building event-driven architectures and real-time systems with tight SLAs
   </li>
   <li>
    Identifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environments
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Highly Valued Relevant Attributes
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent communication skills - able to interface directly with quant researchers and traders, translate requirements, and explain technical decisions
  </li>
  <li>
   Demonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team setting
  </li>
  <li>
   Comfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights
  </li>
 </ul>
</div>


Quantitative Developer, Systematic Equities

PNC Financial Services Group

Job Profile
<br><br>
Position Overview
<br>At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics & Model Development Analyst Senior within PNC's Data, Modeling & Analytics Customer Data Solutions organization, you will be based in Pittsburgh, PA or Tysons Corner, VA.
<br><br>
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
<br><br>
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
<br><br>
Job Description
<br>Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.
<br>Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.
<br>Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.
<br>Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
<br>Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.
<br><br>
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
<br>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
<br>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
<br><br>
Qualifications
<br><br>
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
<br><br>
Preferred Skills Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite
<br><br>
Competencies Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing
<br><br>
Work Experience Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
<br><br>
Education Bachelors
<br><br>
Certifications No Required Certification(s)
<br><br>
Licenses No Required License(s)
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Benefits
<br>PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
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In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
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To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com .
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Disability Accommodations Statement
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If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
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Equal Employment Opportunity (EEO)
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PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
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This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
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California Residents
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Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Quantitative Analytics & Model Development Analyst Senior - Data, Modeling & Analytics

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