data scientist

financial analyst

operations analyst

(usa) data analyst ii

accountant

quantitative analyst

Principal Financial Group

<div>What You'll Do:
<div>
The Senior Portfolio Analyst role within Principal Asset Allocation&rsquo;s (PAA) Portfolio Management team ($250 billion in assets) is responsible for the day-to-day research and implementation of open-architecture, multi-manager equity strategies. This role supports core-satellite strategies in portfolio construction and management decisions across six active equity strategies through quantitative research and analysis of approximately $20 billion in AUM.</div><p></p><p><b><br>
What </b><b>You&rsquo;ll</b><b> Do</b></p><ul><li>
Lead research efforts focused on developing, enhancing, and maintaining systematic indicators to inform portfolio management decisions, including active-passive allocations, manager allocations, and portfolio construction across core-satellite portfolios</li><li>
Enhance active-passive implementation frameworks to determine the optimal use of active managers, passive exposures, and blended structures based on market conditions, macro trends, and asset class dynamics</li><li>
Design and maintain systematic risk mitigation signals, including mean reversion and stop-loss frameworks, to guide tactical positioning</li><li>
Build, maintain, and enhance quantitative models and analytical frameworks used for portfolio optimization, signal generation, scenario analysis, and performance attribution</li><li>
Monitor portfolio risk exposures, including sector, regional, factor, style, and macroeconomic risks, ensuring alignment with investment objectives and risk tolerances</li><li>
Conduct research on market structure, behavioral finance, factor dynamics, and systematic investment strategies to support portfolio outcomes</li><li>
Support portfolio management decision-making through analysis that informs portfolio allocation recommendations</li></ul>
Who You Are:
<ul><li>Bachelor's degree with an emphasis in finance, economics, accounting, or another technical field</li><li>
8+ years related experience that includes quantitative research, risk management, risk analysis</li><li>
Experience working with equities or equity portfolios, including exposure to portfolio construction, manager selection, or equity market analysis</li><li>
Strong understanding of portfolio construction, asset allocation, manager selection and risk management</li><li>
Programming experience (Python, R, C++, SQL)</li><li>
Experience with performance or risk-based platforms such as Factset, Barra, Bloomberg, Morningstar</li></ul><div><b><br>
Skills </b><b>That Will Help You Stand Out</b></div><ul><li>
Advanced training in mathematics, statistics, computer science, or another highly quantitative field</li><li>
Demonstrates strong analytical and problem-solving skills with the ability to synthesize large datasets into actionable insights and recommendations</li><li>
Experience applying artificial intelligence or machine learning techniques to portfolio construction, investment research, or signal development</li><li>
Excellent ability to communicate advanced concepts in a concise and logical manner</li><li>
Strong attention to detail, organizational skills, and the ability to manage multiple tasks and requests from various stakeholders in a timely and efficient manner</li></ul>
Salary Range Information: Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salary Range: $157000 - $213000 / year Salary Details:
<div>
The base salary range for this role is <b>$157,000 - $213,000 </b>as indicated above. Final compensation will be determined based on skills, experience, and alignment with the role&rsquo;s responsibilities.</div><div></div><div><br>
In addition to base pay, this role participates in an <b>annual profit share bonus plan</b>.</div>
Time Off Program: Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don&rsquo;t accrue a bank of time off under FTO and there is no set number of days provided. Pension Eligible: No Additional Information:
<h2 class="jobSectionHeader"><b>Location(s)</b></h2><div>
We&rsquo;re open to considering remote and hybrid talent. Locations for hybrid talent include New York City, Raleigh, Des Moines or Seattle.</div><h2 class="jobSectionHeader"><b>
Work Authorization/Sponsorship
</b></h2><div>At this time, we're not considering applicants that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please use the following links.</div><h2 class="jobSectionHeader"><b>
Nonimmigrant Workers</b><b> and </b><b>Green Card for Employment-Based Immigrants</b></h2><h2 class="jobSectionHeader"><b>
Investment Code of Ethics
</b></h2><div>For Principal Asset Management positions, you&rsquo;ll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.</div><h2 class="jobSectionHeader"><b>
Experience Principal
</b></h2><div>At Principal, we value connecting on both a personal and professional level. Together, we&rsquo;re imagining a more purpose-led future for financial services &ndash; and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits.</div><h2 class="jobSectionHeader"><b>
Principal is an Equal Opportunity Employer
</b></h2><div>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.</div>
 Posting Window: We will accept applications for 3 full days following the Original Posting Date, after which the posting may remain open or be removed based upon applications received. If we choose to post the job again, we will accept additional applications for at least 1 full day following the Most Recently Posted Date. Please submit applications in a timely manner as there is no guarantee the posting will be available beyond the applicable deadline. Date First Posted (TTF): 6/3/2026 Latest Post Date: Careers - US: 6/3/2026</div>

Senior Portfolio Analyst, Asset Allocation

Jump Trading

<div><div><p>Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.</p>
<div>
At Jump, we bring together world class talent, battle tested infrastructure, and serious research intensity to build and scale trading strategies across every asset class and time horizon. Equities as an asset class is competitive, global and fast growing, and we participate in the world&rsquo;s equity markets via a vast array of businesses. Researchers coalesce around projects that may be market specific (investigating eccentricities and opportunities in specific venues or regions), latency specific (HF vs. Mid or Low Frequency), and research approach (ML vs. Deep Learning vs. hand crafted alphas; or groups focused on different swaths of data sets requiring deep expertise and focus). Our environment is a collaborative one, seeking to strike the balance between deep focus and expertise where needed, and the freedom to chase ideas across boundaries. Hierarchy and compartmentalization are not what we are about.</div>
<div></div>
<div>We are looking for experienced Quantitative Researchers to join a &ldquo;mixed frequency&rdquo; research group (horizons range from many minutes to many days). It&rsquo;s a flat, fast moving, collaborative environment where each member has agency, and of whom much is expected. The team is global as is the research. For experienced candidates, we are interested in prior work in portfolio trading and experience in a direct market access environment.</div>
<div></div>
<div><b>What You&rsquo;ll Do:</b></div>
<div></div>
<div>Quantitative Researchers collect and analyze tens of thousands of data sets (some clean, some noisy, some very noisy), identify patterns and develop insights into market complexities. In this case, those insights manifest in the form of forecasts to be realized in equity markets.</div>
<div></div>
<div><b>Skills You&rsquo;ll Need:</b></div>
<ul><li>Creativity. Seeing things where others do not requires creativity and a willingness to try new things in ways others may not have thought of, yet.</li>
<li>Resilience. Successful research is the result of lots of failure, and intellectual risk taking.</li>
<li>STEM Research foundations: Undergraduate and graduate work in Computer Science, Statistics, Physics, Mathematics (or adjacent)</li>
<li>Our work welcomes expertise in C++ and Python&hellip;either works&hellip;and both is better. Applied programming skills in our research teams means breaking down data sets, and machine learning.</li>
<li>Prior experience in stat arb equities: all disciplines in new feature creation, portfolio construction and optimization, and execution are relevant and attractive.</li></ul></div><p></p><div><div><div><div><p><b><br>
Benefits</b></p>
 - Discretionary bonus eligibility<br>
<ul><li>Medical, dental, and vision insurance</li><li>HSA, FSA, and Dependent Care options</li><li>Employer Paid Group Term Life and AD&amp;D Insurance</li><li>Voluntary Life &amp; AD&amp;D insurance</li><li>Paid vacation plus paid holidays</li><li>Retirement plan with employer match</li><li>Paid parental leave</li><li>Wellness Programs</li></ul></div></div><p><br>
Annual Base Salary Range
</p><p>$250,000 - $300,000 USD</p></div></div></div>

Quantitative Researcher | Trading Team

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>The Quantitative Trading &amp; Research Portfolio team specializes in building data-driven, AI-powered tools that empower traders to act quickly and manage risk more effectively. Operating at the intersection of machine learning, real-time data analysis, and quantitative finance, the team transforms complex data into actionable insights with immediate impact on trading and risk management.</p>
<p><b>Job Summary:</b></p>
<p>As an Associate in the Quantitative Trading &amp; Research Portfolio team Data Strategist, you will build data driven, AI-powered tools to help our traders act faster and manage risk smarter. You'll work at the intersection of machine learning, real-time data analysis and quantitative finance to turn complex data into clear, actionable insights. Your work will have immediate, visible impact on how we trade and manage risk.</p>
<p><b>Job responsibilities:</b></p>
<ul><li>Design, build, and deploy AI agentic workflows to enhance risk monitoring, signal generation, and control processes for the trading desk.</li>
<li>Develop real-time data pipelines integrating market and reference data to power intraday risk analytics and scenario analysis.</li>
<li>Implement machine learning models for risk forecasting, anomaly detection, market pattern identification and liquidity estimation.</li>
<li>Create intuitive applications and dashboards that deliver actionable risk insights to traders and risk partners.</li>
<li>Collaborate with traders, quantitative researchers, risk teams, and technologists to translate business needs into resilient, well-documented solutions.</li>
</ul><p></p><p><b>Required qualifications, capabilities, and skills:</b></p>
<ul><li><p>Advanced degree in a quantitative field (Computer Science, Engineering, Mathematics, Physics, Statistics, or Financial Engineering), or 3 years of experience in quantitative research, data analytics, or a related technical role.</p></li>
<li>Hands-on experience in data analytics and machine learning; exposure to multi-agent AI workflow is a plus.</li>
<li>Strong programming skills with proficiency in numerical and machine learning libraries.</li>
<li>Strong analytical and problem-solving skills, with the ability to communicate complex ideas clearly to business partners.</li>
</ul><p></p><p><b>Preferred qualifications, capabilities, and skills:</b></p>
<ul><li>Familiarity with trading concepts, hedging, and risk measures.</li>
<li>Experience with real-time systems, event streaming, or time-series data.</li>
<li>Experience with UI design and visualization tools.</li>
</ul><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world'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.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>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' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Quantitative Trading & Research - Credit Portfolio - Associate

Société Générale

<div><div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><p>DIVISION DESCRIPTION:</p><p>
Global Banking and Advisory (GLBA) combines recognized wholesale coverage with world-class product, financing, and advisory expertise within one team, enabling us to best support our clients. On the one hand, our transversal, product-neutral coverage teams span all businesses to promote the bank's products and services to our clients globally, and on the other, we provide world-class capital raising, financing and advisory expertise.</p><p>
We are seeking an experienced Systematic Trading Systems Strategist / Head of Algorithmic Trading Technology to lead the design and development of a next-generation systematic trading platform focused on U.S. investment-grade corporate credit. This role sits at the intersection of quantitative research, trading, and technology, with a mandate to scale real-time trading capabilities across cash bonds, ETFs, and credit derivatives. The position is highly cross-functional and involves close collaboration with global teams to build a consistent and scalable systematic framework across regions.</p><p><b>
Responsibilities:</b><br>
<br>
You will lead the end-to-end build-out of a systematic trading platform for spread-based investment-grade corporate bonds in the U.S., developing scalable infrastructure across signal generation, pricing, execution, portfolio construction, and risk management. This includes integrating relative value, liquidity, and pricing analytics into trading workflows.</p><p>
You will work closely with global technology, quant, and trading teams to align development efforts, ensuring the platform reflects regional differences in market structure, liquidity, regulation, and data availability. You will also establish coordination frameworks and development standards to promote consistency across geographies while allowing for localized model calibration and execution approaches.</p><p>
A central aspect of the role will be the development of real-time signal optimization and pricing frameworks, enhancing price formation through dynamic fair value models, liquidity-aware adjustments, and execution-sensitive signals embedded directly into trader decision-making tools.</p><p>
You will develop portfolio trading and risk optimization capabilities to support efficient basket execution across credit markets, alongside robust hedging frameworks spanning factor-based, spread-based, and cross-asset strategies using ETFs, CDS, and indices. This includes implementing constraint-aware portfolio optimization and building technology supporting ETF primary market activity, including basket construction, pricing, creation/redemption workflows, NAV alignment, and arbitrage identification.</p><p>
In parallel, you will build tools to identify, test, and deploy systematic strategies across a broad product universe, including single bonds, ETFs, CDS/CDX, and credit derivatives, supporting relative value, basis, arbitrage, and volatility-driven approaches.</p><p>
You will also design and enhance execution strategies tailored to fixed income markets, addressing fragmented liquidity and RFQ-driven workflows, while improving performance through data-driven analytics, feedback loops, and transaction cost analysis, including portfolio-level execution for basket and ETF-related flows.</p>
</div></div><p></p><div><h2 class="jobSectionHeader"><b>Profile required
</b></h2><div><p><b>Skills and Qualifications:</b></p><p>
The ideal candidate brings significant experience in systematic or algorithmic trading, with deep expertise in fixed income markets, particularly investment-grade credit, credit derivatives, and ETF market structure. Experience with portfolio trading, ETF primary market mechanics, or relative value strategies is highly valued, as is the ability to operate effectively in a global, cross-functional environment.</p><p>
You have 8+ years of experience in systematic/algorithmic credit trading and related quantitative strategy and systems development.</p><p>
You have a strong track record of building real-time trading systems or algorithmic platforms, along with solid programming skills (Python, C++, or Java) and a strong foundation in quantitative methods, portfolio construction, and optimization.<br>
<br>
You hold an advanced degree in computer science, engineering, quantitative finance, mathematics, or related field.</p><p></p><p><b><br>
Must Have:</b></p><p>
Advanced degree in Computer Science, Engineering, Mathematics, Finance, or related field.</p><p>
8&ndash;15+ years of experience in systematic trading, algorithmic trading, or quantitative strategy development.</p><p>
Deep knowledge of fixed income markets, particularly, investment grade corporate bonds, credit derivatives (CDS/CDX), fixed income ETFs and ETF mechanisms (create/redeem)</p><p>
Proven experience building real-time trading systems or algorithmic platforms.</p><p>
Ability to translate quantitative insights into production-grade systems.</p><p>
Strong understanding of cross-asset linkages (cash bonds, ETFs, derivatives).</p><p>
Excellent cross-functional communication skills.</p><p>
Strong problem-solving capability in complex, real-time environments.</p><p><b>
Nice to Have:</b></p><p>
Familiarity with machine learning applications in trading and signal generation.</p><p>
Prior leadership experience in a global, multi-team environment.<br>
Proficiency in French.<br>
Series 7, 63, and 57.</p>
</div></div><div><h2 class="jobSectionHeader"><b>Business insight
</b></h2><div><p>Societe Generale is committed to offering an inclusive recruitment experience to all candidates. If you require any reasonable accommodations during the recruitment process, please do not hesitate to let our Recruiters know.</p><p><b>
OUR CULTURE:</b><br>
At Societe Generale, we live by our 4 core values of commitment, responsibility, team spirit and innovation. We are engaged and demonstrate consideration for others. We act ethically and with courage. We focus our talent and energy on collective success. We experiment and propose new ideas. This way, we maximize our ability to serve client needs and anticipate market changes. Societe Generale is committed to strengthening bonds with colleagues, communities, and the world in which we live, because relationships are at the heart of how we operate. For more information about our Culture and Conduct initiatives, please visit this link (https://americas.societegenerale.com/en/careers/get-know-culture/)</p><p><b>
DIVERSITY, INCLUSION &amp; BELONGING (&ldquo;DIB&rdquo;):</b><br>
Our DIB Mission: Recruit, develop, retain and advance a talented workforce that is united in our efforts to leverage our talent and further develop an inclusive environment that will enhance our competitive position and deliver innovative solutions to our clients. It seeks to foster an environment where employee differences are valued and where all employees feel engaged, supported, respected, and informed. For more information about our DIB initiatives, please visit this link: https://americas.societegenerale.com/en/careers/get-know-diversity/</p><p><b>
COMPENSATION:</b><br>
Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience. The role is eligible for an annual discretionary bonus and includes a competitive benefits package including 401(k) plan with company match, medical/dental/vision, and other benefits for fertility, wellness, student loans and commuters.</p>
</div></div><div><div><div>Diversity and Inclusion
</div><div></div><div>Societe Generale is an equal opportunity employer, and we are proud to make diversity a strength for our company. We are committed to recognizing and promoting the talents and achievements of our employees and staff, regardless of race, religion, color, national origin, sex, disability, age, gender, sexual orientation, and any other characteristic or status protected under applicable law.</div></div></div></div>

Desk Head Quantitative Advisor

Andiamo

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 When you work in this role, you&rsquo;ll tackle tough problems alongside other scientists and engineers&mdash;people who will challenge your ideas, share knowledge, and collaborate on impactful projects. You&rsquo;ll be doing work that matters, developing solutions to complex real-world problems using data, invention, and rigorous inquiry.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Independently research and develop hypotheses based on diverse real-world datasets.
  </li>
  <li>
   Conduct literature reviews to apply cutting-edge methodologies for extracting meaningful signals from data.
  </li>
  <li>
   Partner with engineers and stakeholders to rigorously explore and test your theories.
  </li>
  <li>
   Stay engaged in the academic community by joining reading circles and attending seminars to keep up with the latest research.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1&ndash;5+ years of experience in applied data analysis and prediction, preferably in an industry setting.
  </li>
  <li>
   Degree in a technical or quantitative discipline such as statistics, mathematics, physics, electrical engineering, or computer science.
  </li>
  <li>
   Proficiency in Python and SQL.
  </li>
  <li>
   Experience conducting in-depth research projects involving real-world data.
  </li>
  <li>
   Ability to think independently, approach analysis creatively, and communicate complex ideas clearly.
  </li>
  <li>
   Background in finance is not required&mdash;strong research skills are most important.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life and disability insurance.
  </li>
  <li>
   Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms.
  </li>
  <li>
   Learning: Tuition reimbursement, conference and training sponsorship.
  </li>
  <li>
   Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves.
  </li>
  <li>
   Hybrid Work Policy: Flexible in-office days with budget for home office setup.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 The base pay for this role will be between
 <strong>
  $165,000 and $300,000
 </strong>
 . This role may also be eligible for additional forms of compensation and benefits such as discretionary bonuses, health and wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation will depend on skills, qualifications, and experience.
 <br/>
 <br/>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Data Scientist

Insigneo

<div>
 <p>
  The Junior Research Analyst will support the Research and Investment Strategy teams by conducting fundamental and market-driven analysis across asset classes, with a primary focus on equities and fixed income.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB RESPONSIBILITIES/MAIN FUNCTIONS
  </strong>
 </p>
 <ul>
  <li>
   Maintain a strong understanding of global financial markets, macroeconomic trends, and current events, and assess their impact on asset classes, sectors, and securities.
  </li>
  <li>
   Prepare and assist in the development of reports on single-name equities and/or corporate debt securities.
  </li>
  <li>
   Conduct research and analysis on companies, industries, and sectors from both a fixed income and equity perspective.
  </li>
  <li>
   Collaborate with Investment Strategists to identify and evaluate new investment opportunities for the firm.
  </li>
  <li>
   Participate in the preparation and development of research reports produced by the Research team.
  </li>
  <li>
   Clearly and effectively communicate research findings and the team&rsquo;s investment views to internal stakeholders across the firm.
  </li>
  <li>
   Support the translation of technical analysis into actionable insights for broader audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB REQUIREMENTS (EDUCATION AND EXPERIENCE)
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Finance, Economics, or a related field with strong quantitative and analytical focus.
  </li>
  <li>
   Solid understanding of capital markets, including equities and fixed income products.
  </li>
  <li>
   Ability to interpret and analyze financial statements.
  </li>
  <li>
   Proficiency in Bloomberg and Microsoft Office Suite (Excel and PowerPoint required).
  </li>
  <li>
   Strong analytical thinking and problem-solving capabilities.
  </li>
  <li>
   Excellent written and verbal communication skills in both English and Spanish.
  </li>
  <li>
   High attention to detail and strong organizational skills.
  </li>
  <li>
   Ability to work collaboratively in a team-oriented environment.
  </li>
  <li>
   SIE and/or Series 7 licenses are a plus.
  </li>
 </ul>
</div>


Junior Research Analyst

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, and access to capital. With QuickBooks, America&rsquo;s entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That&rsquo;s how we power prosperity around the world.</p><p></p><p><br>
We are seeking a Senior Business Data Analyst as part of our growing Risk Analytics and Insight team within Intuit&rsquo;s Global Business &amp; Self-Employed Group (GBSG). The successful analyst will work across functions (Fraud &amp; Risk Operations, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Small Business Group&rsquo;s short and long-term business outcomes.</p><p></p><p><br>
This role will focus on collaborating with a large Risk Operations team and Risk policy analysts to evaluate existing risk policies for fraud, financial and compliance risk mitigation, evaluating existing manual risk case review processes to drive operational efficiency and find ways to scale our internal processes for business and customer growth. Responsibilities will primarily focus on measuring effectiveness and efficiency of our risk policies and risk operational processes related to agent/ manual case reviews. Successful candidates for this role will leverage risk expertise, financial analytics and innovative risk strategies to enable Intuit&rsquo;s SMB growth and expansion, achieve optimal profitability, while keeping operational costs low and enhance trust-related merchant and consumer experience.</p><p><b><br>
Responsibilities</b></p><ul><li><p>
Ability to analyze &amp; research large data sets, develop insights and translate insights into business opportunities/requirements.</p></li><li><p>
Develop compelling visualizations for story telling that crystallize business opportunities for stakeholders and leaders to make timely decisions.</p></li><li><p>
Understand various aspects of Risk Operations in detail and build comprehensive KPIs to monitor performance.</p></li><li><p>
Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk operational processes effectiveness and efficiency.</p></li><li><p>
Ability to perform quantitative and business trade off decisions to improve risk operation processes to mitigate Risk in payments, payroll and capital loan products.</p></li><li><p>
Effectively able to work with product and technology teams to build risk solutions and collaborate with risk operations to operationalize solutions and get feedback.</p></li><li><p>
Ability to work with data engineers and technology teams to enhance/ enrich our data ecosystem/ risk data marts.</p></li><li><p>
Deliver ideas and insights as you collaborate with partner teams, such as engineering, data science &amp; operations to build risk detection systems that drive overall efficiency, customer experience and agent investigation capabilities.</p></li><li><p>
In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for a project</p></li><li><p>
Team player with experience working on cross functional. Must have good judgement with the ability to think creatively and strategically while working on multiple key projects simultaneously.</p></li></ul><p><b><br>
Qualifications</b></p><ul><li><p>
Strong analytical ability and proven business acumen with at least 5 years of relevant experience. Experience in Financial Services or FinTech highly preferred.</p></li><li><div>
Advanced SQL, Python and coding skills to perform data segmentation and aggregation from scratch.</div></li><li><div>
Good working experience with data analytics and visualization tools like Tableau and Quicksight</div></li><li><div>
Excellent written and verbal communication skills.</div></li><li><div>
High degree of accountability, organization and empathy.</div></li><li><div>
Experience working with Key Performance Indicator (KPI or OKR) metrics.</div></li><li><div>
Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations</div></li><li><div>
Ability to tell stories with data, identify key insights and support data-driven decision making for our stakeholders</div></li><li><div>
Able to work in a fast-paced working environment, multitask, balancing short &amp; long term strategic implications to meet or exceed business objectives</div></li><li><div>
Bachelor&rsquo;s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience. An MBA or graduate degree in a related field is a plus or equivalent experience.</div></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p></p><p><br>
Mountain View $150,500 - $204,000</p><p>
New York City $140,500 - $190,000</p></div>

Principal Fraud and Risk Analyst - Fintech

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