quantitative strategy analyst

JPMorganChase

<div>JOB DESCRIPTION 
Join a high-impact team shaping the future of investment analytics and suitability risk management. Leverage your quantitative expertise to develop innovative models and analytical frameworks. Be part of a collaborative environment where your insights directly influence investment decisions.
As a Quantitative Research Analyst within the Investment Solutions Data, Analytics &amp; Modeling team, you will develop and enhance analytical tools to estimate investment risk and product suitability. You will collaborate with global partners to implement model improvements and ensure robust governance and performance monitoring. Your work will drive data-driven decision-making and support the evolution of next-generation investment/suitability models. 
 
Job Responsibilities:
<ul><li>Collaborate with a team of quantitative researchers to develop analytical tools to estimate Investment Risk and evaluate suitability of the product for the clients.
</li><li>Propose model enhancements and demonstrate its conceptual soundness via rigorous back-testing.
</li><li>Partner with Technology to design and implement cost-effective model changes, and conduct implementation testing,
</li><li>Onboard new product categories.</li><li>
Update market data and recalibrate models regularly ; liaise with Governance teams to secure necessary approvals.</li><li>
Monitor model performance on a routine basis.</li><li>
Conduct ad-hoc quantitative research and analyses.</li><li>
Manage multiple priorities in a dynamic professional environment.</li></ul>
 Required qualifications, capabilities, and skills:
<ul><li>Demonstrate 1+ years of experience in portfolio risk analytics and asset management.</li><li>
Apply strong quantitative modeling and time series analysis skills.</li><li>
Exhibit knowledge of equity, fixed income, and alternative investment products.</li><li>
Hold a graduate degree in a quantitative discipline such as Math, Statistics, Finance, Economics, or Engineering.</li><li>
Utilize programming skills in Python and SQL, with a willingness to learn new tools.</li><li>
Manage financial data handling, retrieval, and modeling tasks effectively.</li><li>
Communicate complex concepts clearly in both written and verbal formats.</li></ul>
Preferred qualifications, capabilities, and skills:
<ul><li>Attain CFA or FRM certification at any level.</li><li>
Employ R language skills for quantitative analysis.</li><li>
Adapt quickly to new analytical tools and technologies.</li></ul>
ABOUT US<div> 
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. 
 
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.</div> 
 
 
ABOUT THE TEAM 
 
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>

Quantitative Research Analyst - Investment Solutions

Deloitte

<div>
 
 Business Analyst | Strategy &amp; Transactions | Qatari National
 
 
 
 About Deloitte:
 
 When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.
 
 
 
 Our Purpose
 
 
 
 Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
 
 
 Our shared values guide the way we behave to make a positive, enduring impact:
 
 <ul>
 <li>
 Lead the way
 </li>
 <li>
 Serve with integrity
 </li>
 <li>
 Take care of each other
 </li>
 <li>
 Foster inclusion
 </li>
 <li>
 Collaborate for measurable impact
 </li>
 </ul>
 
 
 As a Business Analyst under consultative businesses, you will demonstrate and develop your capabilities in the following areas:
 
 
 <ul>
 <li>
 Work in a collaborative team performing research and analysis.
 </li>
 <li>
 Contribute to presentation materials for client engagements.
 </li>
 <li>
 Prioritize your objectives and contribute to project planning and status reporting.
 </li>
 <li>
 Leverage your education and experience to develop your understanding of our clients' business.
 </li>
 <li>
 Assist in the review and analysis of various client issues.
 </li>
 <li>
 Assist in the preparation of client ready final deliverables.
 </li>
 <li>
 Assist partners and managers in client pursuits and eminence building activities.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a Finance related field &ndash; MBA or MA desirable but not essential
 </li>
 <li>
 Fresh Graduate or less than 1 year of experience in a related field
 </li>
 <li>
 Strong Interpersonal &amp; Communication skills
 </li>
 <li>
 Fluency in English is essential.
 </li>
 <li>
 Advanced level of technical proficiency and computer literacy particularly with spreadsheets (Word, Excel, PowerPoint).
 </li>
 <li>
 Excellent business writing skills
 </li>
 <li>
 Motivated, dedicated, dynamic &amp; hard worker
 </li>
 <li>
 Be a Qatari National or have a Qatari Mother
 </li>
 </ul>
</div>

Business Analyst | Strategy & Transactions | Valuation & Modeling | Qatari National

Farm Credit East

Description/Job Summary
 Join a team focused on the success of our customers, the success of our communities, and the success of each other. Farm Credit East (FCE) is the leading provider of loans and farm advisory services to farm, forest product, fishing, and other agricultural business owners across the northeast with $14 billion in total loan volume and $29 million in annual financial services revenue from 18,000 customers across our 8-state territory. We are One Team Working Together with a focus on our five pillars: Outstanding Customer and Employee Experience, Quality Growth, Operational Excellence, Commitment to our Communities, and Protecting Customer Information.
 
The Quantitative Risk Analyst , you will be a key contributor to Farm Credit East's risk modeling, forecasting, and decision modeling efforts. The successful candidate will utilize quantitative and qualitative modeling techniques, statistical analyses, and various analytics tools to provide actionable information to aid in decision making.
 
The value drivers for this role are as follows: Strategic Modeling: Develop and maintain robust risk models and forecasts that inform decisions by the Executive Leadership Team and Board. Data-Driven Growth: Partner with business lines to leverage analytics for growth, profitability, and operational excellence. Innovation: Champion the responsible adoption of AI and machine learning in risk management and analytics processes.
 
Come join a collaborative, customer-focused team at Farm Credit East!
 
Duties and Responsibilities: 
Modeling and Forecasting Develop, document, and deploy quantitative models for credit risk and capital management (CECL, stress testing, economic capital) and automated credit decision models. Communicate complex modeling concepts clearly to technical and non-technical audiences. Work across business lines to develop and execute analytics use cases that will drive operational excellence, generate growth opportunities, and/or enhance the customer and employee experience.
 Cross-functional Collaboration Partner with risk, finance, and business operations to align modeling initiatives with strategic goals. Collaborate with business units to identify analytics use cases and opportunities for applying quantitative modeling techniques to address business challenges and opportunities. Work with the data team to ensure governance and data quality and to build data pipelines for production models.
 Model Development Lifecycle Document model development and testing in accordance with Model Risk Management guidelines. Represent model development during internal and/or external model validations and audits. Oversee the implementation and monitoring of models in production environments. Develop and implement sound change controls around production models and develop appropriate model monitoring metrics.
 Job Qualifications and Requirements: Bachelor's degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or related discipline. Advanced degree (Master’s or PhD), while not required, will be looked upon favorably. 3+ years of experience in quantitative modeling, risk analytics, or data science, with a strong background in credit risk modeling, CECL, and stress testing. Proficiency in R, Python, or SAS; experience with AI/ML techniques. Strong communication skills to translate complex concepts for diverse audiences. Ability to influence stakeholders and drive cross-functional collaboration. We offer hybrid work options after two weeks of employment with Farm Credit East. Hybrid work options are determined based on job role and balancing the needs of the customers, the team, and individual work performance. This will be reviewed based on manager discretion.
 
Compensation and Benefits: Salary Range: $75,000 to $125,000 commensurate with experience Short-Term Incentive to reward business results Retirement Contributions : 401k match up to 6% of salary; or for those unable to take full advantage of the 401(k) match, verified student loan payments may qualify for an employer match in your 401(k) up to 6% of salary Defined Contribution retirement plan funded at 2-9% of salary depending on years of service Time Off: 15-25 days of vacation leave per year, depending on years of service 12 days of holiday leave per year 7.5 days of sick leave in your first year, followed by 12 days of sick leave per year thereafter; unlimited rollover of unused sick leave year to year Paid Parental Leave: Up to 80 hours of paid leave for birthing, non-birthing, and adoptive parents Family Care Leave: Additional leave options available under FMLA and company policy Health and Insurance: Comprehensive medical, dental, and vision plans, including preventive care and wellness programs to support your overall health and well-being Health Savings Account Life insurance at 2x base pay Accidental Death and Dismemberment insurance at 2x base pay Long-term disability insurance at 2/3 base pay Additional Benefits: Tuition reimbursement Continuing education and training Employee Assistance Program offering a wide variety of tools and resources Benefits Eligibility: Eligibility Begins: First of the month following your hire date Eligible Employees: Full-time employees working 30+ hours per week; Part-Time employees working 20+ hours per week.
 
Farm Credit East is an Equal Opportunity Employer. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, marital status, parental status, political affiliation, disability status, protected veteran status, genetic information or any other status protected by federal, state or local law. It is our goal to make employment decisions that further the principle of equal employment opportunity by utilizing objective standards based upon an individual's qualifications for a specific job opening. In compliance with the Americans with Disabilities Act (“ADA”), if you have a disability and would like a reasonable accommodation in order to apply for a position with Farm Credit East, please call 1-800-562-2235 or e-mail FarmCreditCareers@farmcrediteast.com .

Quantitative Risk Analyst

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li>
<li>8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of experience with a Master's degree).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li>
<li>Experience in product analytics within payments, e-commerce, or financial services.</li>
<li>Ability to manage and organize work sprints for themselves and a team of analysts.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

As the key analyst on Forms of Payments (FOPs) and Business-to-Consumer (B2C) analytics, you will shape Payments products and solutions, helping our leaders make data-driven decisions. You will lead a critical part of Payments that focuses on acquiring the usage of nearly one billion users with FOPs across all Google Surfaces. You will drive analytics for FOPs launches globally, improving cards and non cards types, driving transaction performance, capturing the Quality and Value from FOPd users, as well as managing FOPs Risk and Compliance. You will also play an important role in our interactions on B2C analytics with Play and You Tube to improve Buyflows, Purchase Readiness, Conversion and UI on these critical Google products.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Shape the future of Google Payments by leveraging data and analytics to drive decisions, influence strategy, and create business impact across the organization.</li>
<li>Identify and solve ambiguous problems, transforming data into insights that influence leadership decisions.</li>
<li>Lead projects that align with the organizational strategy, deliver insights that help business decisions.</li>
<li>Contribute to the development and alignment of team Objectives and Key Results (OKRs) and analytics strategy to ensure they support the product and business goals across the Payments organization.</li>
<li>Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision-making.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Data Scientist, Product, Payments

Antal International

<div>
 
 HIRING FOR ONE THE LEADING AMERICAN TECHNOLOGY, specializes in AI-driven real-time advertising, audience insights and measurement.
 
 
 
 
 
 
 ROLE: DATA ANALYST- SALES/REVENUE OPERATIONS
 
 
 
 
 
 
 
 MUST HAVE'S:
 
 
 
 
 1) EXPERIENCE IN TABLEAU, SALESFORCE, POWER-BI, SALES FORECASTING, REPORTING,PIPELINE MANAGEMENT, CREATING DASHBOARDS, GOOGLE SHEETS, EXCEL.
 
 
 
 2) Ability to translate large amounts of data into useful information and actionable conclusions.
 
 
 3) Ability to communicate effectively across all functions and levels of the organization
 
 
 
 
 
 
 REQUIREMENTS: 3+ years of analytical work experience
 
 in investment banking or consulting industries, and an additional
 
 2+ years
 
 previous experience working on a
 
 Sales Operations, Sales Finance, or FP&amp;A team
 
 at a technology company.
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 ● Work collaboratively across functional teams to develop and advance sophisticated, quantitative analysis, translating internal and external data into actionable insights.
 
 
 ● Work in tandem with Commercial leaders across the globe providing support, opportunity sizing for our business, monitoring and setting KPIs, and sharing best practices.
 
 
 ● Provide analytical support and reporting on forecasting + pipeline activities, stake/goal setting, compensation, individual seller performance metrics, and quarterly business reviews.
 
 
 ● Participate in developing strategy, processes, and operating procedures to a growing Sales organization.
 
 
 ● Dynamic modeling, large data analysis and automation.
 
</div>

Data Analyst- Sales Ops

High Street Resources

About the Opportunity: 
We are retained to hire a Head of Quantitative Research for a cutting-edge digital asset investment manager operating at the intersection of quantitative finance, AI, and automated trading.
 
Role Overview: 
This is a senior leadership role responsible for defining research strategy, building and mentoring quant teams, and delivering a consistent pipeline of deployable alpha. The role is both strategic and hands-on, with deep involvement in research, validation, and production workflows.
 
Key Responsibilities: 
<ul>
<li>Define and execute the firm’s quantitative research roadmap.</li>
<li>Lead hands-on strategy development using statistical, ML, and AI techniques.</li>
<li>Build and manage high-performing research teams.</li>
<li>Partner closely with trading, risk, and engineering.</li>
<li>Drive adoption of next-generation compute and research tooling.</li>
</ul>
Requirements: 
<ul>
<li>Advanced degree in a quantitative discipline.</li>
<li>8+ years in quantitative research with leadership exposure.</li>
<li>Strong Python expertise; additional low-latency languages a plus.</li>
<li>Experience with large-scale data, cloud infrastructure, and AI/ML.</li>
</ul>

Head of Quantitative Research

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Business, Finance, Economics, Statistics, another quantitative field, or equivalent practical experience.</li>
<li>7 years of experience in financial planning and analysis, consulting, a related function, or an advanced degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>5 years of experience in investment banking, venture capital, management consulting, engaged analysis, strategy, or related roles.</li>
<li>Experience in research and development finance functions and processes.</li>
<li>Understanding of addressing the needs of the business and finance goals.</li>
<li>Ability to take charge, set objectives, drive results while building long-term relationships across organizational boundaries with all levels.</li>
<li>Excellent quantitative problem-solving skills in spreadsheets, databases and investigative tool sets.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges. 
 
As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support.

Google's Engineering and Infrastructure leaders steer the technology and, research and development roadmap towards financially optimal outcomes via scalable processes, quantitative analysis, financial planning and analysis governance, and the translation of complexities into actionable insights.
As a senior financial analyst, you will prioritize across Google's complex technology roadmap, lead transformational projects, and drive/develop key novel metrics.
The name Google came from &quot;googol,&quot; a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
The US base salary range for this full-time position is $137,000-$201,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Be the trusted financial partner to engineering and Infrastructure leaders, transforming complex technical program updates and financial progress into concise, high-impact narratives for our most executives.</li>
<li>Drive accountability and clarity by relentlessly pursuing the root causes of financial and operational issues, partnering cross-functionally to quantify gaps and implement impactful solutions.</li>
<li>Shape Google's future technology investments by creating multi-year financial models, including Net Present Value (NPV) and presenting the critical economic insights that guide engineering program decisions during business case reviews.</li>
<li>Pioneer financial innovation leading transformational projects to develop, novel metrics for custom silicon and AI technologies, automating critical workstreams, and establishing consolidated, transparent program tracking.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Financial Analyst, Infrastructure

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