quantitative analyst

Eksim Enerji

<div>
 
 
 About Eksim Holding
 
 
 
 
 
 
 Our journey, which began in 1986 with foreign trade, has evolved into a powerful ecosystem shaping Turkey&rsquo;s economy across energy, food, electricity distribution, venture capital, and technology.
 
 
 As Eksim Holding, we lead sustainable growth through investments in renewable energy, food production, electricity distribution, and EV charging systems.
 
 
 Respect, environmental awareness, efficiency, and commitment to ethical values are the cornerstones of our corporate culture, which places people and technology at its core.
 
 
 With more than 20 group companies and over 10,000 employees, we represent a dynamic ecosystem moving toward a shared goal across diverse fields.
 
 
 
 
 
 Rol ve Sorumluluklar
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Trading Analytics:
 
 Maintain day ahead and futures forecast models, dashboards, "ad-hoc analysis".
 </li>
 <li>
 
 Signal Engineering:
 
 Develop "Python/SQL" pipelines for price, demand, renewable outputs; apply "ML/fundamental" models to improve hit-rate and stability.
 </li>
 <li>
 
 Market Ops Support:
 
 Assist with nominations/positions analytics; "ETRM" records; daily limit and compliance checks.
 </li>
 <li>
 
 Data &amp; Integrations:
 
 Build connectors to exchanges, APIs; ensure "data quality", "lineage", and auditability.
 </li>
 <li>
 
 Opportunity Scouting (CEE/SEE):
 
 Screen cross-border spreads, "JAO/SEECAO", "TE&Idot;A&Scedil;" (TCAT) auctions.
 </li>
 <li>
 
 Stakeholder Engagement:
 
 Join strategy meetings; translate analytics into trade ideas; write runbooks and automate repetitive tasks.
 </li>
 </ul>
 
 
 
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 
 0&ndash;2 years
 
 in a quantitative role (trading, data science, research, or similar).
 </li>
 <li>
 "Strong
 
 Python"
 
 (pandas, NumPy, scikit-learn) and "
 
 SQL"
 
 ; clean code and
 
 Git
 
 .
 </li>
 <li>
 ML fundamentals for time series: feature engineering, cross-validation, drift &amp; regime awareness, overfit control.
 </li>
 <li>
 
 Excellent English
 
 , written/oral communication.
 </li>
 <li>
 Bias-to-action, skeptical/analytical mindset, excellent time management.
 </li>
 </ul>
 
 
 
 
 
 Nice-to-Have (Pluses)
 
 
 <ul>
 <li>
 "Power market literacy": "DA/ID mechanics", "futures, balancing", "ETRM basics".
 </li>
 <li>
 
 "CEE/SEE markets":
 
 "TCAT"/"HUPX"/"IBEX"/"ENEX"; "
 
 SEECAO/JAO
 
 auctions"; "
 
 EP&Idot;A&Scedil;"
 
 and "
 
 TE&Idot;A&Scedil; (TCAT)"
 
 .
 </li>
 <li>
 Experience with "REST APIs", and "BI" ("Power BI").
 </li>
 </ul>
 
 
</div>

Quantitative Analyst

Morningstar

<div>Associate Quantitative Analyst (Mumbai) 
The Team: DBRS Morningstar is a global credit ratings business with about 800 employees in eight offices globally. Formed through the acquisition of DBRS by Morningstar, Inc., the credit ratings business is the fourth-largest provider of credit ratings in the world. DBRS Morningstar is committed to empowering investor success, serving the market through leading-edge technology, and raising the bar for the industry. DBRS Morningstar is a market leader in Canada, the U.S. and Europe in multiple asset classes. DBRS Morningstar rates more than 4,000 issuers and 56,000 securities worldwide, and is driven to bring more clarity, diversity, and responsiveness to the ratings process. 
Visit: https://www.dbrsmorningstar.com/learn/dbrsmorningstar to learn more.
Credit Operations Mumbai Analytics team enables and supports the efficient and effective delivery of credit ratings/information to the market with its specialized skills and assets, consistent frameworks, and economies of scale. We collaborate with stakeholders to build creative, impactful solutions and offer services for the business and the market.
About the Role: DBRS Morningstar Structured Finance team is looking for candidate with good problem solving, analytical &amp; technical mindset. As an Associate Quant Analyst, you will work with team to automate data analysis processes to include document downloads, data storage, build and run data analytics to aid rating, research, and surveillance process, develop and enhance data analysis and workflow optimization tools; assist with special projects/initiatives, as needed. Proficiency in Python, SQL and VBA will be needed. This role will provide unique opportunities for mastering the key aspects of our business including in-depth collateral and deal analysis. This position is based in our Navi Mumbai office. 
Responsibilities<ul><li>
Work directly with Internal &amp; external team to deliver projects and services.</li><li>
Perform, when possible, quantitative analysis in order to measure outcomes.</li><li>
Assist the team with transforming, improving and integrating data, depending on the business requirements.</li><li>
Combining the data result sets across multiple sources</li><li>
Understand core concepts around data storage and access specifically in structured data systems such as databases (SQL, Athena, AWS S3)</li><li>
Develop and maintain API&rsquo;s to integrate internal and external data sources.</li><li>
Participate actively in the design and build phases, to aim at producing high quality deliverables.</li><li>
Have a mindset to bring about process efficiencies and ideate automations</li><li>
Collect, organize, and study data from internal and external sources for use in criteria development, ratings, and research reports.</li><li>
Take ownership of the tasks with focus on quality and accuracy of the deliverables</li><li>
Demonstrate strong learning curve</li><li>
Highly organized and efficient, with ability to multi-task and meet tight deadlines</li><li>
Ensure compliance with regulatory and company policies and procedures</li></ul> 
Requirements<ul><li>
Bachelor&rsquo;s degree in Engineering or other quantitative discipline, Economics, Finance or Management Studies.</li><li>
Masters, CFA or CFA program enrollment are a plus</li><li>
1-2 years of experience working with financial products using Python.</li><li>
Proficiency in Python / Anaconda, Data science stack (Jupyter, Pandas, NumPy), Microsoft Excel, Visual Basic for Applications (VBA) and MSSQL.</li><li>
Proficiency in object-oriented programming is a plus.</li><li>
Strong attention to detail and accuracy</li><li>
Highly motivated, self-starter who is keen to learn, has a positive attitude and a strong work ethic</li><li>
Ability to manage multiple tasks at the same time and deliver results in a timely manner</li><li>
Good inter-personal skills and ability to participate/ contribute as a team player</li></ul>
Morningstar DBRS is an equal opportunity employer.
About Us 
 
Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world. 
 
Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service. 
 
Morningstar DBRS is the next generation of credit ratings.
If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.
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.
R11_DBRSRatingsGmbHIndia DBRS Ratings GmbH, Branch India Legal Entity</div>

Associate Quantitative Analyst

<div>Morningstar Indexes- http://indexes.morningstar.com
Position: Senior Quantitative Analyst &ndash; New Product Development &ndash; Morningstar Indexes 
 
The Area: Morningstar Indexes Team leverages its expertise in equity research, manager research, asset allocation, and portfolio construction to create innovative investment solutions. We use Morningstar&rsquo;s intellectual property to create indexes that empower investors to achieve their goals at every stage of the investment process - market monitoring, benchmarking, and asset allocation. Morningstar Indexes offers a broad suite of global equity, bond, commodity and asset allocation indexes. 
The Role: As a part of the New Product Development Team, you will participate in the full development cycle including ideation, design, development, presentations to global research team and clients, leading up to implementation. A fast-growing dynamic set-up offers opportunity to handle multiple projects, work with diverse and skilled team members and provide opportunities to fast track your career development. You will have a good grasp of investment concepts, possess strong analytical skills, good communication skills and will be technically proficient with at least one programming language (Python, R or MATLAB) in addition to SQL. This position is based in our Navi Mumbai office. 
Responsibilities:<ul><li>
Build innovative index solutions through rigorous investment research, and own it through full product development lifecycle from ideation, design, development, and validation, leading up to launch</li><li>
Collaborate effectively with the broader Morningstar research organization including equity, quantitative, manager or sustainability research teams, and product management to develop novel thematic and smart beta indexes that leverage Morningstar IP</li><li>
Promote integration of team throughput and operational processes with other index teams to facilitate growth of our product and methodology suite</li><li>
Help develop new tools and capabilities to perform portfolio construction or analytics independently, including the use of statistical and machine learning techniques</li><li>
Publish white papers, factsheets, client presentations, and other collateral to support go-to-market plans</li></ul>
Requirements:<ul><li>
At least 3 years of experience in a quantitative or financial domain such as equity research, credit research, investment management, risk management, or analytics</li><li>
Bachelor&rsquo;s degree in quantitative, financial discipline, or engineering, MBA/Masters degree is helpful</li><li>
CFA charter or candidature (at least passed Level II) is desirable</li><li>
Knowledge of investment concepts, modern portfolio theory, and portfolio construction processes.</li><li>
Proficiency in at least one programming language (Python, Matlab, R or C#)</li><li>
Excellent documentation habits, oral and written communication and presentation skills including ability to distil complex ideas into simple explanations</li></ul>
Morningstar is an equal opportunity employer.
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 Quantitative Analyst – New Product Development – Morningstar Indexes

Xerago

Job Description:&middot; Developing models: Building and improving mathematical models for trading, forecasting, or data processing&middot; Conducting research: Analyzing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions&middot; Back testing: Testing and implementing trading models and signals in a live trading environment&middot; Creating reports: Summarizing findings and insights in detailed documents or presentations for non-technical stakeholders&middot; Using unconventional data: Using unconventional data sources to drive innovation&middot; Translating algorithms: Translating algorithms into code&middot; Managing portfolios: Managing and fine-tuning investment portfolios to maximize returns while minimizing risks&middot; Product Notes: Writing a detailed Product Note with all information including data to support the strategy&middot; Pseudo Code: Capability to write Pseudo Code to test the strategy&middot; Systems: Good understanding of the Trading Systems and trade execution process to limit latency and slippagesInvestment Management:&middot; Oversee the development and implementation of investment strategies and asset allocation models.&middot; Monitor market trends and economic indicators to make informed investment decisions.&middot; Ensure adherence to the firm&rsquo;s investment policies and risk management guidelines.Compliance and Risk Management:&middot; Ensure the firm&rsquo;s practices comply with SEBI regulations and other relevant legal requirements.&middot; Conduct periodic audits and reviews to maintain high standards of regulatory compliance.&middot; Implement and monitor internal controls to manage and mitigate risks effectively.Qualifications:&middot; Bachelor&rsquo;s degree in finance, economics, business administration, or a related field; advanced degrees (MBA, CFA, CFP) preferred.&middot; Relevant experience in mathematics, statistics, computer science, or finance preferred&middot; NISM Series XV and Series X A&amp;B certification&middot; Minimum of 5-10 years of experience in building technical trading and Quantitative Strategies&middot; Deep knowledge of SEBI regulations and compliance requirements.&middot; Proven ability to develop and execute strategic initiatives.&middot; High ethical standards and a commitment to acting in clients' best interests.Job Type: Full-timeExperience:<ul><li>Quantitative research: 4 years (Required)</li></ul>Work Location: In person

Quantitative Research Analyst

QuantGlobal

Internship DescriptionDuration- 6 monthsWe are seeking a Quantitative Risk Analyst Intern with strong interest in trading operations, market risk, and quantitative environments. This role is ideal for candidates who have a foundational understanding of the stock market and possess NISM Series-VIII (Equity Derivatives) certification.The intern will support daily trading operations, help ensure smooth trade execution, and assist in monitoring real-time market risks. Candidates with prior trading or market exposure will be preferred.Key ResponsibilitiesAs a Risk Trading Intern, your day-to-day tasks will include:<ul><li>Assisting in monitoring order execution accuracy and trade flow.</li><li>Coordinating with brokers under supervision to resolve minor trade-related issues.</li><li>Supporting the verification of trade confirmations and internal reports.</li><li>Monitoring live market data and alerting the team about any risk deviations or unusual activity.</li><li>Helping maintain daily risk checklists and ensuring all processes are followed.</li><li>Assisting with risk reporting, documentation, and operational compliance tasks.</li></ul>Required Qualifications<ul><li>Mandatory: NISM Series-VIII (Equity Derivatives) certification.</li><li>Strong understanding of stock market basics, equity/derivative concepts, order types, and trading mechanics.</li><li>Good communication, attention to detail, and problem-solving abilities.</li><li>Ability to work effectively in high-speed trading environments.</li></ul>Preferred Skills<ul><li>Prior exposure or experience in trading, paper trading, or managing personal portfolios.</li><li>Hands-on familiarity with trading platforms like ODIN, XTS, or NEST (added advantage).</li><li>Basic knowledge of risk parameters, margin requirements, and order execution flow.</li></ul>Job Type: Full-timePay: &#8377;10,000.00 - &#8377;15,000.00 per monthBenefits:<ul><li>Health insurance</li></ul>Application Question(s):<ul><li>What software have you used (ODIN/XTS/NEST)?</li><li>Please explain your trading experience</li></ul>License/Certification:<ul><li>NISM-8 certification (Required)</li></ul>Work Location: In person

Quantitative Risk Analyst Intern

BMO Financial Group

320 S Canal Street Chicago Illinois,60606
 
<div>The ideal candidate will be enrolled in a Master level program.
Additional required skills for this role include:<ul><li>
Coding in Python
</li><li>API to extract data/or automate</li><li>
Financial modeling/automation &amp; machine learning</li><li>
Dashboard building</li><li>
Bayesian Stats
</li><li>Financial engineering</li></ul>
Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.<ul><li>
Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.</li><li>
Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.</li><li>
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.</li><li>
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.</li><li>
Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.</li><li>
Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.</li><li>
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.</li><li>
Exercises judgment to identify, diagnose, and solve problems within given rules.</li><li>
Works independently on a range of complex tasks, which may include unique situations.</li><li>
Broader work or accountabilities may be assigned as needed.</li></ul>
Qualifications:
Foundational level of proficiency:<ul><li>
Deep learning.</li><li>
Machine learning.</li><li>
Trust, bias and ethics.</li><li>
Creative thinking.</li><li>
Critical thinking.</li></ul>
Intermediate level of proficiency:<ul><li>
Mathematics, statistics &amp; operations research.</li><li>
Big data.</li><li>
Data visualization.</li><li>
Computational thinking and programming.</li><li>
Data wrangling.</li><li>
Data preprocessing.</li><li>
Complex problem solving.</li><li>
Analytical acumen.</li><li>
Creative reasoning.</li><li>
Verbal &amp; written communication skills.</li><li>
Collaboration &amp; team skills.</li><li>
Analytical and problem solving skills.</li><li>
Influence skills.</li><li>
Data driven decision making.</li><li>
Typically between 2-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.</li><li>
Technical proficiency gained through education and/or business experience.</li></ul>
Salary:
$69,000.00 - $127,800.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Quantitative Analyst - Summer 2026 (Co-op/Internship) - 10 Weeks

Job Description: Associate Quantitative Developer Location: Noida (Onsite) Department: Quantitative Research &amp; Development Reports To: Senior Quantitative Developer Job Type: Full-time employmenthttps://quantquest.quanttiphy.com/Role OverviewWe are seeking a highly motivated Quantitative Developer to join our dynamic team. This role involves developing, backtesting, and optimising quantitative strategies using advanced quantitative techniques. You will work closely with experienced traders and researchers to enhance our proprietary trading models &amp; algorithms and drive innovation in global markets.Key Responsibilities<ul><li>Strategy Development &amp; Backtesting: Design, code, and optimise complex quantitative trading strategies.</li><li>Quantitative Modelling: Utilise advanced mathematical models, statistical techniques, and machine learning algorithms to improve performance.</li><li>Data Analysis: Analyse large financial datasets to identify trading opportunities using statistical methods.</li><li>Collaboration: Work with cross-functional teams to integrate trading models into our platform.</li><li>Technology Enhancement: Develop Python-based tools and automate trading-related tasks.</li><li>Regulatory Compliance: Ensure all quantitative models meet accuracy, reliability, and compliance standards.</li><li>Market Research: Stay updated with financial markets, economic indicators, and trading innovations.</li><li>Reporting: Prepare detailed reports and presentations on strategy performance for stakeholders.</li></ul>Requirements<ul><li>Education: Bachelor's/Master&rsquo;s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field.</li><li>Experience: 1+ years of experience in quantitative research or trading strategy development.</li><li>NISM VIII certification is required.</li><li>Technical Skills:</li><li>Proficiency in Python for quantitative modelling and backtesting is a must.</li><li>Strong understanding of machine learning, probability, and statistical analysis.</li><li>Familiarity with Mongo DB and C++.</li><li>Financial Knowledge: Solid understanding of financial markets specially of equities &amp; derivative (F&amp;O) asset pricing, and trading strategies.</li><li>Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading.</li></ul>Job Type: Full-timePay: &#8377;400,000.00 - &#8377;600,000.00 per yearBenefits:<ul><li>Health insurance</li></ul>Application Question(s):<ul><li>Describe your experience in strategy coding?</li></ul>Experience:<ul><li>quantitative trading : 1 year (Required)</li><li>stock market trading: 1 year (Preferred)</li></ul>License/Certification:<ul><li>NISM-VIII (Required)</li></ul>Work Location: In person

Associate Quantitative Developer

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