quantitative analyst

William o'neil India

<div><div><div><h2 class="jobSectionHeader"><b>About Us</b></h2></div><div><p>
O'Neil Global Advisors (OGA) is an investment advisor that builds algorithmic strategies based on proprietary quantitative factor research pioneered by investing legend William J. O'Neil. Bill's methodology has achieved consistent success over more than five decades, and OGA's strategies provide our clients with an exclusive way to capture the success of his powerful and disciplined approached to investing. We develop strategies that are inspired by Bill's disciplined quantitative approach and incorporate his desire for constant improvement through ongoing backtesting.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Summary</b></h2></div><div><p>
Responsible for the gathering, cleaning, and analyzing time series data. Together with our team of data scientists and portfolio managers, the Quantitative Analyst I will develop new tools and data sets that support our factor research and investment management activities.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Duties and Responsibilities</b></h2></div><div><ul><li>
Works independently on variety of data collection and data analysis projects</li><li>
Build, clean, and transform various time series data sets</li><li>
Work with unstructured data to extract relevant features</li><li>
Analyze large data sets and generate descriptive statistics</li><li>
Build scripts in Python and SQL</li><li>
Document the data sets in Confluence</li><li>
Work with developers to troubleshoot and fix data issues</li><li>
Track and report on data issues using Jira</li><li>
Provide support to our data science and investment management teams</li><li>
Perform other duties as requested by management</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications &amp; Requirements</b></h2></div><div><ul><li>
Bachelor&rsquo;s degree in STEM or Finance is required</li><li>
Highly skilled in writing SQL queries to gather, analyze, and clean market data</li><li>
Excellent working knowledge of descriptive and inferential statistics</li><li>
Ability to write prototype quality code using Python</li><li>
Course work or personal interest in equity investment is a plus</li><li>
Must have excellent Excel and PowerPoint skills</li><li>
Perform all work and activities with honesty and integrity</li><li>
Effectively communicate (and listen) clearly, professionally, politely and persuasively in all situations; respond well and in a reasonable, timely manner</li><li>
Challenge conventional practices and use creativity and information to lead, innovate, problem solve, and implement ideas to contribute to the growth of the organization</li><li>
Collaborates with co-workers to achieve common goals</li><li>
Take personal responsibility for productivity, quality and timeliness of work</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Working Conditions</b></h2></div><div><p>
While performing the duties of this job, the employee is regularly required to sit and use hands to type. Moderate travel. The noise level in the work environment is usually moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Equal Opportunity Employer</b></h2></div><div><p>
O'Neil Global Advisors is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.</p></div></div></div>

Quantitative Analyst I

Morningstar

<div><p><b>Position:</b> Senior Principal Quantitative Analyst</p><p><b>
Department:</b> Managed Investment Data (MID) &ndash; Quality &amp; Transformation</p><p><b>
No of Positions:</b> 1</p><p><b>
Shift:</b> General Shift</p><p></p><h3 class="jobSectionHeader"><b>
Job Description</b></h3><p></p><p>
The <b>Senior Principal Quantitative Analyst</b> plays a critical role in ensuring the accuracy, integrity, and reliability of quantitative data that powers Morningstar&rsquo;s financial models, analytics, and decision-making processes.</p><p>
This role is a cornerstone of the <b>Managed Investment Data (MID)</b> program, which collects, standardizes, and enriches global fund data&mdash;supporting investors, advisors, and institutions through trusted data and insight.</p><p></p><p>
The analyst will lead quantitative data quality design and implementation, develop AI/ML-based validation frameworks, and collaborate with cross-functional teams to strengthen data governance and model readiness.</p><p>
This role reports to the <b>Director, Quality &amp; Transformation</b> within the Managed Investment Data team based in Mumbai.</p><p></p><h3 class="jobSectionHeader"><b>
Job Responsibilities</b></h3><p></p><ul><li><p>
Lead the design, implementation, and enhancement of <b>quantitative data quality frameworks</b>, encompassing statistical validation and anomaly detection.</p></li><li><p>
Develop <b>AI/ML-driven predictive quality checks</b>, enabling proactive data error prevention and model trustworthiness.</p></li><li><p>
Apply advanced statistical methodologies &mdash; linear/non-linear modeling, time series analysis, and Bayesian inference &mdash; to detect quality drifts and signal inconsistencies.</p></li><li><p>
Collaborate with quantitative researchers, data scientists, and engineers to ensure data readiness for quantitative models and investment algorithms.</p></li><li><p>
Create <b>automated, scalable, and auditable data validation pipelines</b>, supporting real-time data monitoring and exception reporting.</p></li><li><p>
Partner with stakeholders to uphold <b>data governance, privacy, and regulatory compliance</b> standards (MiFID, ESMA, SEC).</p></li><li><p>
Mentor and guide junior analysts, fostering a culture of excellence, continuous learning, and innovation in quantitative analysis.</p></li><li><p>
Communicate complex data quality insights and statistical findings in simple terms to senior leadership and non-technical stakeholders.</p></li><li><p>
Drive innovation through <b>automation, reproducible modeling pipelines</b>, and deployment of ML-based data correction systems.</p></li><li><p>
Contribute to the modernization of Morningstar&rsquo;s data architecture by integrating <b>data observability, telemetry, and metadata-driven quality measures.</b></p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Requirements</b></h3><p></p><ul><li><p>
Strong foundation in <b>quantitative finance, econometrics, and applied statistics</b>.</p></li><li><p>
Deep understanding of <b>financial instruments, fund structures, and performance modeling</b>.</p></li><li><p>
Proven ability to work with large-scale, structured and unstructured data.</p></li><li><p>
Excellent analytical, problem-solving, and statistical reasoning skills.</p></li><li><p>
Strong stakeholder management, communication, and presentation skills.</p></li><li><p>
Ability to work in a <b>cross-functional, fast-paced environment</b>, and lead through influence.</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Desired Candidate Profile</b></h3><p></p><ul><li><p>
Master&rsquo;s degree in <b>Statistics, Mathematics, Financial Engineering, Data Science, or Quantitative Finance</b>.</p></li><li><p><b>
Professional certifications</b> such as CFA, FRM, CQF, or Six Sigma Black Belt preferred.</p></li><li><p><b>
10+ years of experience</b> in quantitative analytics, model validation, or data quality engineering within financial services, asset management, or fintech.</p></li><li><p>
Expertise in <b>Python, R, SQL</b>, and familiarity with tools such as <b>MATLAB, SAS, or TensorFlow</b>.</p></li><li><p>
Experience in <b>AWS ecosystem</b> (S3, RDS, Glue, Athena) and modern data quality platforms.</p></li><li><p>
Hands-on experience with <b>AI/ML frameworks</b> (scikit-learn, PyTorch, TensorFlow) for anomaly detection and predictive data correction.</p></li><li><p>
Familiarity with <b>data governance and regulatory standards</b> (GDPR, SEC, ESMA, MiFID).</p></li><li><p>
Proficiency in <b>Lean, Agile, and automation-first approaches</b> for process improvement.</p></li><li><p>
Entrepreneurial mindset with a passion for innovation and scalability.</p></li><li><p>
Strong leadership, mentorship, and collaboration abilities.</p></li><li><p>
Flexible to adapt to evolving data and technology landscapes.</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Key Competencies</b></h3><p></p><ul><li><p><b>
Statistical Expertise:</b> Deep proficiency in hypothesis testing, regression modeling, and time-series forecasting.</p></li><li><p><b>
AI/ML Integration:</b> Building and deploying predictive quality and anomaly detection models.</p></li><li><p><b>
Automation Mindset:</b> Experience with data pipelines, ETL automation, and observability frameworks.</p></li><li><p><b>
Data Governance:</b> Comprehensive understanding of metadata management, lineage, and auditability.</p></li><li><p><b>
Business Acumen:</b> Translating technical insights into actionable business intelligence.</p></li><li><p><b>
Leadership:</b> Guiding teams through analytical rigor, innovation, and continuous improvement.</p></li></ul><p></p><p><b>
Morningstar is an equal opportunity employer.</b></p><p>
We celebrate diversity and are committed to creating an inclusive environment for all employees.</p><p></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity</div>

Senior Principal Quantitative Analyst

Token Metrics

<div><div><b>Token Metrics</b> provides AI-based cryptocurrency ratings and price predictions. Our customers leverage our professional analysts, analytics, and artificial intelligence to make profitable crypto investments.</div><div></div><div><br>
Token Metrics is seeking a <b>quantitative analyst</b> to assist our team in designing crypto quantitative trading strategies.</div><div></div><div><br>
If you're the right person, you've got a passion for trading, Python, have strong analytical skills and the ability to communicate and work in a fast-paced environment.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li>
Developing, testing, and optimizing algorithmic trading strategies</li><li>
Identifying new trading ideas and investment opportunities</li><li>
Researching and analyzing large data sets to find patterns</li><li>
Developing risk management tools</li></ul><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li>
Proficiency in Python</li><li>
Experience working with large data sets</li><li>
Ability to design and back-test trading strategies</li><li>
Strong background in statistics</li></ul><div>
About Token Metrics</div><div></div><div><br>
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.</div><div></div><div><br>
Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Crypto Quantitative Analyst Intern

Morgan Stanley

<div>
 <strong>
  About Morgan Stanley
  <br/>
  <br/>
 </strong>
 Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.
 <br/>
 <br/>
 <strong>
  About Parametric
  <br/>
  <br/>
 </strong>
 Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.
 <br/>
 <br/>
 This role is part of Parametric's hybrid working model, which requires working in the office 3 days a week and remotely the remaining days of the week.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Parametric's fixed income solutions can make it easy to navigate complex markets while customizing portfolio exposure to potentially fit investment goals. We're an industry pioneer with over 30+ years of Fixed Income Experience. Our Separately Managed Accounts (SMAs) make custom fixed income portfolios simple and scalable.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The role will focus primarily on driving implementation of SMA portfolios at scale, leveraging tools and technologies built in-house for portfolio management and trading. The SMA strategies include all strategies managed by the broader Fixed Income team. Additionally, the role will focus on quantitative research and data science projects to develop and grow the SMA fixed income strategies. Finally, the role will require the individual to operate in a project management capacity on development initiatives in partnership with investment technology.
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 <strong>
  Primary Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   SMA Implementation: Collaborate with portfolio managers and traders on day-to-day investment responsibilities including monitoring portfolio positioning, execution, cash management and compliance. Push forward the implementation process related to trade output review and prioritization
  </li>
  <li>
   Portfolio Construction and Product Development:: Develop and maintain new and existing portfolio construction algorithms, Support and work with product team closely by modeling new strategies, and work with investment technology team to help with workflow automation, data processing and general quantitative projects for all portfolio management teams.
  </li>
  <li>
   Project Management and Product Ownership: Work closely with investment technology teams and project manage working closely with business team and interfacing with developers daily to execute strategic initiatives. Prototype trading and portfolio construction logic for the purpose of translation to production applications
  </li>
  <li>
   Quantitative Research and Data Science: Conceptualize and aid in innovative research studies, such as applying LLM/ML to generate investment ideas. Engage in the team&rsquo;s quantitative investment process by collecting, cleaning, processing and analyzing large datasets
  </li>
  <li>
   Collaborate and work on long-term research projects with supervision and support from the team&rsquo;s portfolio managers and quantitative analysts.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Qualifications
  <br/>
  <br/>
 </strong>
 SKILL SET
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 <br/>
 Required Experience: 3+ years
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 <br/>
 Skill set: Python/SQL
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 <strong>
  Primary Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in quantitative fields such as Computer Science, Mathematics, Statistics or Financial Engineering
  </li>
  <li>
   3+ years of related work experience in investments, qualitative research, or a similar field.
  </li>
  <li>
   Knowledge of object-oriented programing, Python 3.x.
  </li>
  <li>
   SQL Server, MySql or other relational database experience.
  </li>
  <li>
   Demonstrated interest in investments and quantitative research.
  </li>
  <li>
   Strong analytics background.
  </li>
  <li>
   Ability to think creatively and propose new ways to employ quantitative tools.
  </li>
  <li>
   Ability to concisely communicate quantitative concepts.
  </li>
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   Ability to work independently and as a member of a team.
  </li>
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   Ability to work well in a highly social and collaborative environment across multiple geographies.
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  </li>
 </ul>
 <strong>
  Good To Have Skills
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  <br/>
 </strong>
 <ul>
  <li>
   NLP/LLM, Machine Learning or AI knowledge, cloud technology a plus.
  </li>
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   Data tools like Tableau, Power BI, Alteryx.
  </li>
  <li>
   Professional certifications such as CQF, CFA or FRM are desirable.
   <br/>
   <br/>
  </li>
 </ul>
 Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our client services.
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 <br/>
 <strong>
  What You Can Expect From Morgan Stanley
  <br/>
  <br/>
 </strong>
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 <br/>
 <br/>
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 <br/>
 <br/>
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>


Quantitative Analyst -Associate- Parametric

Goldman Sachs

<div><div><div><div><div><div><div><div><p><b>ABOUT OUR ROLES IN ASSET &amp; WEALTH MANAGEMENT</b></p>
<p>Goldman Sachs Asset and Wealth Management (AWM) provides asset management, wealth management and banking expertise to consumers and institutions around the world. AWM partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.</p>
<p><b>ABOUT FIXED INCOME AND LIQUIDITY SOLUTIONS</b></p>
<p>Fixed Income and Liquidity Solutions is an investment team with a global suite of products that delivers fixed income and money market portfolio solutions and manages assets for a broad range of clients such as pension funds, endowments, foundations, financial institutions, insurers and high net worth individuals. We focus on investing and advising clients across all sectors of the fixed income market, ranging from traditional investment grade products to more opportunistic/distressed investing.</p>
<p><b>YOUR IMPACT</b></p>
<p>Within Goldman Sachs Asset Management, quantitative engineering strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with portfolio managers across asset classes, their invaluable quantitative perspectives on complex financial and technical challenges power our business and investment decisions.</p>
<p>As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.</p>
<p>Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts to navigate the complexities of the financial markets.<br>
An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients.</p>
<p><b>RESPONSIBILITIES</b></p>
<ul><li>Working closely with portfolio managers to build quantitative models and tools to streamline portfolio management process</li><li>
Developing sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment.</li><li>
Developing quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve the portfolio construction process and improve portfolio performance</li><li>
Developing rigorous and scalable data management/analysis tools to support the investment process.</li><li>
Implementing mathematical models and analytics in production-quality software</li></ul>
<p><b>QUALIFICATIONS</b></p>
<ul><li>Background in a quantitative discipline (e.g. mathematics, engineering, physics, or computer science) with a preference for Masters and PhDs</li><li>
Municipal and corporate credit markets experience beneficial</li><li>
Strong mathematical and analytical skills</li><li>
Desire and ability to create innovative solutions to commercial challenges</li><li>
Proficient in at least one programming language, and proven experience in production software development life cycle (SDLC)</li><li>
Excellent communication skills</li><li>
A self-starter, should have ability to work independently as well as thrive in a team environment</li></ul>
<p><b>GOLDMAN SACHS ENGINEERING CULTURE</b></p>
<p>At Goldman Sachs, our Engineers don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.<br>
Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!</p>
<div><b>ABOUT GOLDMAN SACHS</b><br>
</div><div>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.<br>
</div><div>We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.<br>
</div><div>We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html<br>
</div><div>&copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
</div><div>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
</div></div></div></div></div></div></div></div><div><div><div><div><div><b>We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Analyst
OFFICE LOCATION(S)
Bengaluru
DIVISION
Global Banking &amp; Markets</p>

PhD Hiring - Hyderabad/Bengaluru - Associate - Quantitative Engineer

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.
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 <br/>
 Responsibilities:
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 <ul>
  <li>
   Develop and implement models for our energy supply business using Python and other data science tools
  </li>
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   Identify, analyze, and mitigate credit risk
  </li>
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   Conduct data analysis and modeling to support risk management decisions
  </li>
  <li>
   Stay current with industry developments and regulations related to credit risk management
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   <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

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Are you a dynamic individual with a passion for financial markets and strong analytical skills? Join our Investment Solutions Data, Analytics &amp; Modeling team!</p><p>
As a Portfolio Management Support Analyst in the Data Analytics &amp; Modelling Team, you will enhance investment procedures for multi-asset portfolios. You will create quantitative tools, support Portfolio Managers with analytics, and research performance attribution to improve processes and models. You will also collaborate with governance groups, implement risk management, and present portfolio performance to clients.</p><p><b>
Job Responsibilities</b></p><ul><li>
Develop quantitative tools for investment processes.</li><li>
Support Portfolio Managers with data and analytics.</li><li>
Conduct research on performance attribution.</li><li>
Propose and redesign process flows and models.</li><li>
Collaborate with model governance groups.</li><li>
Implement risk management techniques.</li><li>
Monitor and adjust asset allocations.</li><li>
Set risk limits and employ hedging strategies.</li><li>
Prepare comprehensive investment reports.</li><li>
Present portfolio performance to clients.</li><li>
Drive efficiencies and controls in processes.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Demonstrate 3+ years of quantitative research experience.</li><li>
Hold a degree in a quantitative discipline.</li><li>
Exhibit fluent programming skills in Python.</li><li>
Execute process automation projects.</li><li>
Understand basic statistics and econometric analysis.</li><li>
Communicate complex issues clearly.</li><li>
Manage priorities in a dynamic environment.</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Experience in asset/wealth management organizations.</li><li>
Knowledge of R or Matlab programming.</li><li>
Hands-on experience with market risk modeling.</li><li>
Certifications like PRM/FRM, CFA, and CQF.</li><li>
Keen interest in financial markets.</li><li>
Ability to present complex data simply.</li><li>
Strategic vision to evolve analytical tools.</li></ul>
<b>ABOUT US</b><div><br>
<p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
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We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p></div><br>
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<b>ABOUT THE TEAM</b><br>
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J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Analyst - Portfolio Analytics Quantitative Research

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