financial quantitative analyst

Information Technology Senior Management Forum

<div><div>Posted Date
10/24/2025
</div><div>Description
<div>Principal Quantitative Analyst - CMA Predictive Analytics
At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Quantitative Analyst at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The Quantitative Analyst teams at Capital One offer a unique opportunity to be part of a dynamic analytics and modeling team focused on developing behavior and valuation models for balance sheet portfolios. These portfolios can range from investment securities, retail and commercial deposits, mortgage loans, derivatives, and other fixed income products. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.
Responsibilities and Skills:<ul><li>Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as deposit predictions, derivatives models and fixed income models.</li><li>Work across Capital One entities to create novel analytical solutions to challenging business problems.</li><li>Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.</li><li>Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data.</li><li>Identify opportunities to apply quantitative methods or machine learning to improve business performance.</li><li>Apply deep expertise in mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers.</li><li>Providing technical guidance to business leadership.</li><li>Communicate technical subject matter clearly and concisely to individuals from various backgrounds.</li><li>Understand and navigate Risk Management Software to enable business analysis.</li></ul> 
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates would possess:<ul><li>Deep understanding of quantitative modeling in relation to finance, deposit behaviors, capital markets and investment portfolio modeling principles.</li><li>Extensive experience in Python or other object-oriented language.</li><li>Ability to clearly communicate modeling results to a wide range of audiences.</li><li>Drive to develop and maintain high quality and transparent model documentation.</li><li>Strong written and verbal communication skills.</li><li>Strong presentation skills.</li><li>Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.</li></ul> 
Basic Qualifications:
<ul><li>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:</li><li>A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul>
Preferred Qualifications:<ul><li>Master&rsquo;s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline.</li><li>1+ year of experience with Python, R or other statistical analyst software</li><li>2+ years of experience with data analysis</li><li>1+ year of experience manipulating and analyzing large data sets.
</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $158,600 - $181,000 for Prin Assoc, Quant Analysis 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Quantitative Analyst - CMA Predictive Analytics
At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Quantitative Analyst at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The Quantitative Analyst teams at Capital One offer a unique opportunity to be part of a dynamic analytics and modeling team focused on developing behavior and valuation models for balance sheet portfolios. These portfolios can range from investment securities, retail and commercial deposits, mortgage loans, derivatives, and other fixed income products. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.
Responsibilities and Skills:<ul><li>Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as deposit predictions, derivatives models and fixed income models.</li><li>Work across Capital One entities to create novel analytical solutions to challenging business problems.</li><li>Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.</li><li>Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data.</li><li>Identify opportunities to apply quantitative methods or machine learning to improve business performance.</li><li>Apply deep expertise in mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers.</li><li>Providing technical guidance to business leadership.</li><li>Communicate technical subject matter clearly and concisely to individuals from various backgrounds.</li><li>Understand and navigate Risk Management Software to enable business analysis.</li></ul> 
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.
Successful candidates would possess:<ul><li>Deep understanding of quantitative modeling in relation to finance, deposit behaviors, capital markets and investment portfolio modeling principles.</li><li>Extensive experience in Python or other object-oriented language.</li><li>Ability to clearly communicate modeling results to a wide range of audiences.</li><li>Drive to develop and maintain high quality and transparent model documentation.</li><li>Strong written and verbal communication skills.</li><li>Strong presentation skills.</li><li>Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.</li></ul> 
Basic Qualifications:
<ul><li>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:</li><li>A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul>
Preferred Qualifications:<ul><li>Master&rsquo;s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline.</li><li>1+ year of experience with Python, R or other statistical analyst software</li><li>2+ years of experience with data analysis</li><li>1+ year of experience manipulating and analyzing large data sets.
</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $158,600 - $181,000 for Prin Assoc, Quant Analysis 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
158,600.00 - 181,000.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Principal Quantitative Analyst - CMA Predictive Analytics

BtcDana Global

<div>
 
 
 Company Description
 
 
 
 BTC Dana is a leading next-generation financial brokerage firm based in Dubai, dedicated to revolutionizing the investment landscape. We offer a diverse range of over 500 CFD trading instruments, including FX, Cryptocurrencies, Commodities, and Stocks. Our user-friendly FinTech-designed platform and dedicated customer support make trading easy and enjoyable for everyone, ensuring transparency and fund safety.
 
 
 
 
 
 Role Description
 
 
 This is a full-time on-site role for a Quantitative Analyst (Risk), located in Dubai. The Quantitative Analyst will be responsible for developing and implementing quantitative models to analyze market risks, conducting statistical analysis, and supporting the trading platform's risk management strategies. Daily tasks will include data analysis, designing risk metrics, collaborating with various teams to optimize trading strategies.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Factor &amp; Indicator Mining: Build risk/behavioural factors from historical data (e.g., markout, VPIN), integrated with risk management.
 </li>
 <li>
 User Segmentation &amp; Profiling: Classification models for retail/professional/arbitrage/HFT clients, with risk grading to drive strategy and routing optimization.
 </li>
 <li>
 PnL Attribution: Daily profit and return attribution (fees, spread, funding, basis, slippage) pipelines and anomaly notifications.
 </li>
 <li>
 Data Pipelines (Historical/Real-time): ETL of orders, trades, positions, and funds; unified definitions of metrics and dimensions.
 </li>
 <li>
 Real-time Risk Control &amp; Alerts: Dashboards (by platform/product/account), risk order detection, anomaly detection, automated risk parameter adjustment, and circuit-breaker recommendations.
 </li>
 </ul>
 
 
 
 
 
 Core Skills:
 
 
 <ul>
 <li>
 Risk Metrics: Exposure, leverage, Greeks, hedge deviation, latency/failure rate, VaR/ES, TCA, risk factor backtesting metrics (IR, Sharpe, Max Drawdown).
 </li>
 <li>
 Machine Learning: Scikit-learn; classification/regression, anomaly &amp; change-point detection, feature engineering, model drift/calibration &amp; monitoring; familiarity with PyTorch/TF.
 </li>
 <li>
 Databases &amp; Tools: SQL/Spark/Hive/ClickHouse, data modeling/partitioning/materialized views, BI tools (FineBI/PowerBI/Tableau).
 </li>
 <li>
 Data Stream Processing: Spark/Flink, Kafka/Redpanda, Airflow/Dagster; data quality frameworks (Great Expectations).
 </li>
 <li>
 Programming: Python/Java, engineering practices (testing, logging, version control).
 </li>
 <li>
 Cloud platform: Google Cloud Platform is preferred
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or above in Computer Science, Financial Engineering, Data Science, or related fields.
 </li>
 <li>
 Familiarity with common risk control and anomaly detection algorithms (supervised/unsupervised learning, clustering, time series analysis).
 </li>
 <li>
 Prior experience in financial derivatives, leveraged trading, or FX/CFD risk management preferred.
 </li>
 <li>
 Strong risk awareness, with ability to connect models to business use cases.
 </li>
 <li>
 Strong cross-functional communication skills (collaborating with risk, trading, and development teams).
 </li>
 </ul>
</div>

Quantitative Analyst

Deloitte

<div></div><div><div><div><div><div>Job requisition ID :: 84538
</div></div></div></div><div><div><div><div>Date: Oct 23, 2025
</div></div></div></div><div><div><div><div>Location: Mumbai
</div></div></div></div><div><div><div><div>Designation: Assistant Manager
</div></div></div></div><div><div><div><div>Entity: Deloitte Touche Tohmatsu India LLP
</div></div></div></div><div><div><div><div>About The Team
In our Treasury &amp; Capital Markets team, we pride ourselves on being ahead of the curve and making an impact. We not only help our clients to sleep at night, but we also empower our clients to get real business benefits. We pride our ourselves on our people-centred culture, client focussed approach and our ability to think differently.
This newly created role represents an exciting and high-profile opportunity for a driven and high-performing professional to support us in driving the growth of our markets and quantitative modelling team. The team focuses on complex quantitative model developments, validations, and model risk management activities for a variety of financial institutions (primarily banks and non-bank lenders). In addition, the team also focuses on upcoming regulatory changes and assisting clients on implementing or understanding the impacts of these changes on their risk models. 
What will your typical day look like?
Specifically, you will:
 <ul><li>Assist in the delivery of markets related solutions and analytics
 </li><li>Work with a highly driven team across a range of projects focused on risks that banks and other financial services companies are exposed too.
 </li><li>Work effectively as a team member sharing responsibility, providing support, maintaining communication, and updating senior team members on progress.
 </li><li>Utilise and develop your quantitative, problem solving, statistical, analytical and communication skills through model development and model validation engagements.
 </li><li>Adopt a client-centred mindset.
</li><li>Understand the market landscape and disruptive trends and translate these to market-leading business opportunities</li></ul></div></div></div></div></div>

Assistant Manager | Model Validation Quant - Pricing | Mumbai | Regulatory & Financial Risk

GitMax

Office We are looking for a Quantitative Trader to develop and test original trading models from the ground up. This role focuses on designing fundamentally new strategies using statistical analysis, probabilistic reasoning, and machine learning. This is not a template-based or traditional derivatives trading position we value creativity, initiative, and independence. Key Responsibilities: <ul> <li>Research and build quantitative trading models and signal-generation algorithms;</li> <li>Invent and validate new market factors and features;</li> <li>Work with large historical datasets using a well-established backtesting infrastructure;</li> <li>Contribute to cross-market and cross-asset models with real capital exposure;</li> <li>Earn performance-based bonuses tied to the profitability of your models (top performers can earn multiples of their base compensation).</li> </ul> Requirements: <ul> <li>Proficient in Python (numpy, pandas, sklearn, etc.);</li> <li>Solid knowledge of probability theory, statistics, and econometrics;</li> <li>Experience with ML frameworks is a plus;</li> <li>Ability to design and implement models independently, not just fine-tune existing ones;</li> <li>English proficiency required;</li> </ul> Why Join Us: <ul> <li>Work on real models deployed across diverse global markets;</li> <li>Lean team structure with high impact and visibility;</li> <li>Tight-knit, high-caliber quant team (3 5 people max);</li> <li>Clear path from intern to core trader with strategic ownership opportunities</li> </ul>

Quantitative Trader

Morningstar

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

Senior Principal Quantitative Analyst

Value Tech Consulting

The Role
 We are seeking a dynamic and detail-oriented Financial Research Analyst to join our team in Dubai. The ideal candidate will play a critical role in analyzing financial data, market trends, and investment opportunities to support informed decision-making and contribute to our company's growth and success. Responsibilities: - Conduct comprehensive financial research and analysis to identify trends, risks, and opportunities. - Prepare detailed reports and presentations on financial data and market conditions. - Monitor economic and industry developments affecting investment strategies. - Collaborate with portfolio managers and stakeholders to provide actionable insights. - Evaluate financial statements, market reports, and company filings to support investment decisions. - Utilize quantitative methods and financial models to forecast potential outcomes and investment performance. - Maintain up-to-date knowledge of financial markets, regulations, and best practices.
 
Requirements
 <ul>
<li>Bachelor’s degree in Finance, Economics, Accounting, or a related field. - Proven experience as a Financial Research Analyst or similar role. - Strong analytical and quantitative skills with proficiency in financial modeling and data analysis tools. - Excellent understanding of financial markets, instruments, and investment strategies. - Proficient in Microsoft Excel, financial databases (e.g., Bloomberg, Reuters), and statistical software. - Good communication and presentation skills, with the ability to convey complex information clearly. - Detail-oriented with strong organizational and problem-solving abilities. - Ability to work independently and as part of a collaborative team in a fast-paced environment. - Fluency in English; knowledge of Arabic is a plus.</li>
</ul>
About the company
 Value Tech Consulting is a complete Information Technology company offering innovative technology solutions from small size to large size brands across the world.

Investment Analyst

Nomura

<div>
 
 
 
 Global Markets - Equity Research - Analyst / Associate
 
 
 
 
 
 
 
 
 Nomura Overview:
 
 
 
 
 
 
 Nomura is an Asia-headquartered financial services group with an integrated global network spanning over 30 countries. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its four business divisions: Retail, Asset Management, Wholesale (Global Markets and Investment Banking), and Merchant Banking. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com
 
 
 
 
 
 Nomura Services India, (Powai) supports Nomura&rsquo;s businesses around the world. Powai&rsquo; s world class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support have played a key role in facilitating Nomura&rsquo;s global operations and are an integral part of Nomura&rsquo;s global expansion plans. The Powai operation is a critical part of the platform to support the growth of Nomura&rsquo;s global business.
 
 
 
 
 
 
 Division Overview:
 
 
 
 
 
 
 Nomura's Global Markets Division handles client transactions for financial institutions, corporates, governments and investment funds around the world. We act as market makers, trading in fixed income and equity securities, including currencies, interest rates and credit in cash, derivatives and structured products. We have taken market-leading positions across the globe by leveraging the strength of our talent, client relationships and technology.
 
 
 
 
 
 By developing strong relationships with our client base through consistent interaction, independent advice and pre-eminent access to Asia, we have built a powerful global franchise.
 
 
 
 
 
 
 Business Unit Overview:
 
 
 
 
 
 
 Nomura Research is a World-class provider of intellectual capital. Research covers Company Analysis, Quantitative Research, Corporate Access &amp; Equity Strategy. Nomura delivers Independent research through globally aligned sectors and with a narrow but deep, high-quality strategy leveraging dedicated distribution.
 
 
 Powai (Mumbai) Research division is an integral part of the Global Research Division. It consists of Associates covering various markets, who undertake equity research. The Equity Research team is involved in fundamental research of companies as well as equity strategy research spanning geographies across Asia. The team also comprises, Product Management Group, Supervisory Analysts and the Editorial &amp; Production team.
 
 
 In order to further support the business and Nomura&rsquo;s market profile across a broad range of clients, the Asia ex Japan Equity research team is looking to hire an associate to provide Equity Strategy research coverage. The team is looking for an associate who could support the analyst in his work. The team aims to be a top-3 provider of research to the firm&rsquo;s focus accounts which are equally spread between institutional investors and hedge funds in all the main financial centers of the world.
 
 
 
 
 
 
 Position Specifications:
 
 
 
 
 
 
 
 Corporate Title
 
 
 
 Analyst/Associate
 
 
 
 Functional Title
 
 
 
 Analyst/Associate
 
 
 
 Experience
 
 
 
 1 to 3 years
 
 
 
 Qualification
 
 
 
 Degree in Finance/Economics/CA/MBA or Engineering/Statistics/Mathematics from a premier institute. CFA will be an added advantage
 
 
 
 
 
 
 Role &amp; Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Join as an integral part of Asia ex Japan Equity Strategy research team.
 </li>
 <li>
 The role will involve supporting senior analyst based in Singapore.
 </li>
 <li>
 The successful candidate will be part of a highly-regarded team with a mandate for research on Asia Pacific equity strategy. The team produces regular written reports on a variety of discretionary subjects with a substantial amount of underlying analysis, and the candidate would be expected to contribute to the reports in terms of idea generation and analysis.
 </li>
 <li>
 Work on building financial/quantitative models and strategies for the team, which use company and/or macro-economic data; maintain these databases on a regular basis.
 </li>
 <li>
 Assist in writing full or parts of research reports; Build marketing presentations with the direction of senior analyst.
 </li>
 <li>
 Keep an eye on important regional/global news flow, which could likely have impact on equities in the region.
 </li>
 <li>
 The candidate should be able to work under pressure and amid tight deadlines and be able to respond to requests from internal and external clients (both fundamental and quantitative) in a flexible manner.
 </li>
 <li>
 The role offers the right candidate a potential to develop and grow knowledge of the workings of a financial market.
 </li>
 </ul>
 
 
 
 
 
 Mind Set:
 
 
 
 
 
 
 
 Mandatory
 
 
 <ul>
 <li>
 Ideally some experience in equity/credit/quantitative research experience which demonstrates superior analytical ability; or demonstrated interest in pursuing financial markets research
 </li>
 <li>
 Degree in Finance/Economics/CA/MBA or Engineering/Statistics /Mathematics from a premier institute is mandatory
 </li>
 <li>
 Passion in analyzing financial/stock markets or understanding
 </li>
 <li>
 Tenacity and perseverance to be able to work in fast paced environment
 </li>
 <li>
 Should be able to formulate a problem, undertake the required analysis and interpret the results
 </li>
 <li>
 Be able to think through complex issues and be comfortable dealing, sometimes, with ambiguity in an effort to find solutions
 </li>
 <li>
 Be highly numerate, with exceptional quantitative financial analysis and modelling skills
 </li>
 <li>
 Knowledge of MS Excel, Word, PPT
 </li>
 <li>
 Should be highly comfortable organizing and analyzing large amounts of data to find meaningful conclusions
 </li>
 </ul>
 
 
 
 
 
 Desired
 
 
 <ul>
 <li>
 CFA/CFA candidate/ Master&rsquo;s degree/CA will be preferred
 </li>
 <li>
 Some basic programming/ econometrics skills and background (VBA, R, Python) etc. are preferred. The candidate should be open to spend some of his/her time using programming skills to develop and maintain databases to enhance productivity.
 </li>
 <li>
 Some experience of financial databases such as Bloomberg, Factset, Thomson Reuters/ Eikon is good to have
 </li>
 <li>
 Excellent analytical and communication skills (written and oral) with attention to detail.
 </li>
 <li>
 Basic familiarity with report-writing for a business audience and ability to formulate and articulate views logically
 </li>
 <li>
 Be a good team player
 </li>
 <li>
 A passion for financial markets. The ability to transfer theory to practice, demonstrated through work experience or finance-related projects/ internships/ modules during course work would be an added advantage
 </li>
 <li>
 Have an appetite for top-down research/macro-research to identify investment themes; and passionate about developing knowledge of Global Markets not only limited to equities, but also potentially rates, FX, commodities, etc.
 </li>
 </ul>
 
 
</div>

Global Markets - Equity Research (Strategy) - Analyst / Associate

Search 10000+ Financial quantitative analyst jobs near you this October. New roles added regularly across leading industries. Apply today.